Fact
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S. Hrg. 110-550 - Politicized Hiring at the Department of Justice
Topics
Entities
Moderation
Speakers
Topics
No topics found
Entities
No entities found
Moderation
No moderation found
Speakers
Full Transcript
Patrick Leahy
OPENING STATEMENT OF HON. PATRICK J. LEAHY A U.S. SENATOR FROM
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.3914135508
OpenAI Moderation v1 (007)
Violence
0.0997624709
OpenAI Moderation v1 (007)
Violence > Graphic
0.0607749447
OpenAI Moderation v1 (007)
Sexual
0.0553845544
OpenAI Moderation v1 (007)
Hate
0.052235031
OpenAI Moderation v1 (007)
Sexual > Minors
0.0071054354
OpenAI Moderation v1 (007)
Hate > Threatening
0.0011593492
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009031739
OpenAI Moderation v1 (007)
Self-Harm
0.0002619909
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.9955E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.283E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.058
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4
Flesch-Kincaid Ease
70.4
Gunning-Fog Score
4.3
Coleman-Liau Index
7.6
SMOG Index
6.9
Automated Readability Index
0
Dale-Chall Readability Score
8
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Patrick Leahy
Good morning. Today, the Committee welcomes Glenn Fine, the Inspector General of the Department of Justice, to discuss the findings of his office's investigation into the hiring of attorneys for key career positions throughout the Department.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.869
Very Positive
Moderation
Harassment
0.0392666785
OpenAI Moderation v1 (007)
Violence
0.0138349438
OpenAI Moderation v1 (007)
Violence > Graphic
0.0097385368
OpenAI Moderation v1 (007)
Hate
0.005471535
OpenAI Moderation v1 (007)
Sexual
0.0022967664
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004157317
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001172635
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001062992
OpenAI Moderation v1 (007)
Self-Harm
3.12054E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.41185E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0815E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Research
Score:
100
Magnitude:
0.078
Code:
13006000
Url:
https://cv.iptc.org/newscodes/subjectcode/13006000
Wikidata_id:
Q42240
Wikidata_label:
research
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
79
Magnitude:
0.061
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.5
Gunning-Fog Score
11.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Patrick Leahy
The report the Inspector General released this week, along with a previous report released last month, shines much needed light on hiring decisions at the Department. For years, those decisions have been shrouded in a shadow cast by the Bush White House. The reports confirm what I and others have suspected all along -- that senior officials within the Department of Justice used illegal political and ideological loyalty tests in making hiring decisions for career positions that, by law and the Department's own rules -- law and the Department's own rules -- are supposed to be nonpartisan. They broke the law. They did so as political partisans and cronies. And I am convinced that the U.S. Attorney firings and the cover-up and the widespread illegal hiring practices within the Justice Department that have been revealed represent the most serious threat to the effectiveness, the professionalism, and the independence of the Department since Watergate.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.95551
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.27444
VADER
-0.653
Very Negative
Moderation
Harassment
4.278479144
OpenAI Moderation v1 (007)
Hate
0.1333686872
OpenAI Moderation v1 (007)
Violence
0.0656098593
OpenAI Moderation v1 (007)
Violence > Graphic
0.0471980369
OpenAI Moderation v1 (007)
Sexual
0.0286904688
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0112185415
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017779974
OpenAI Moderation v1 (007)
Self-Harm
0.0003335293
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002653078
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.79867E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.11705E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.707
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.291
Magnitude:
36
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
60
Magnitude:
0.426
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.3
Gunning-Fog Score
14.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
51
Sprache Difficult Word Count
45
Patrick Leahy
We learned through the course of our investigation of the firings of the U.S. Attorneys that only "loyal Bushies" would ultimately keep their jobs, to use their words. We had people being asked not how you can serve your country or how you can serve the Department of Justice, but how do you serve George W. Bush. You are there to serve the country, not any individual President, Republican or Democratic.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.20067
VADER
0.502
Very Positive
Moderation
Self-Harm > Intent
2.9719866812
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7092358321
OpenAI Moderation v1 (007)
Self-Harm
1.4055727981
OpenAI Moderation v1 (007)
Sexual > Minors
0.9466887452
OpenAI Moderation v1 (007)
Sexual
0.9119059891
OpenAI Moderation v1 (007)
Hate
0.657168217
OpenAI Moderation v1 (007)
Harassment
0.2249929123
OpenAI Moderation v1 (007)
Hate > Threatening
0.1445024158
OpenAI Moderation v1 (007)
Violence
0.1299032127
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0913551601
OpenAI Moderation v1 (007)
Violence > Graphic
0.0488815131
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.143
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.75
Magnitude:
154
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
84
Magnitude:
0.12
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
56
Magnitude:
0.081
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
70.1
Gunning-Fog Score
7
Coleman-Liau Index
10.6
SMOG Index
9.9
Automated Readability Index
5.7
Dale-Chall Readability Score
3.4
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
18
Patrick Leahy
Last month we saw that political functionaries under Mr. Ashcroft and Mr. Gonzales corrupted the honors program for the best and the brightest coming out of law schools -- the honors program being something where we looked to recruit career people in the Department of Justice by picking only the very, very best, irrespective of their political background. But here they turned it into something that no matter how talented you are, you could only apply if you were a demonstrably loyal conservative Republican. Now we see in the reports of the Inspector General that our worst fears are also realized in the Department's hiring and assignment practices for nonpartisan attorney positions, those of immigration judges and prosecutors. Why would you be seeking a partisan immigration judge or prosecutor? The law is the law. It does not make any difference which party you belong to. We actually have laws against doing such a thing, and those laws were broken.
Sentiment
Loughran McDonald (Relative)
0.14286
Leans Positive
Loughran McDonald (Absolute)
0.14286
Leans Positive
Loughran McDonald (Logit)
0.25131
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.80235
VADER
0.968
Very Positive
Moderation
Harassment
0.0556465355
OpenAI Moderation v1 (007)
Violence > Graphic
0.0159231786
OpenAI Moderation v1 (007)
Violence
0.0158532785
OpenAI Moderation v1 (007)
Sexual
0.0036861384
OpenAI Moderation v1 (007)
Hate
0.0025411553
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003446553
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002827601
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001434497
OpenAI Moderation v1 (007)
Self-Harm
4.79347E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.10155E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6597E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
1
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
91.197
Magnitude:
72
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
48.7
Gunning-Fog Score
12.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.8
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
42
Sprache Difficult Word Count
47
Patrick Leahy
As a former prosecutor, I would hope that the Department of Justice would take its responsibilities seriously now and hold people accountable. Only then will the Department have moved forward to help ensure that this never happens again. Something should be done now. We do not know who the next President is going to be, but no matter who it is, we should establish the criteria so this never happens again.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.94444
VADER
0.422
Positive
Moderation
Violence
0.0062917214
OpenAI Moderation v1 (007)
Hate
0.0045549343
OpenAI Moderation v1 (007)
Harassment
0.0031588461
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025633528
OpenAI Moderation v1 (007)
Sexual
0.0017750717
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003246252
OpenAI Moderation v1 (007)
Harassment > Threatening
5.39619E-5
OpenAI Moderation v1 (007)
Self-Harm
9.8675E-6
OpenAI Moderation v1 (007)
Hate > Threatening
9.165E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.994E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.424E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.076
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
94.889
Magnitude:
159
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
57.7
Gunning-Fog Score
11
Coleman-Liau Index
11.6
SMOG Index
11.8
Automated Readability Index
9.4
Dale-Chall Readability Score
3.8
Sprache Readability Score
4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15
Patrick Leahy
But I have yet to see any such response from the current leadership of the Department, and one of my questions to Mr. Fine today is whether the Inspector General has made referrals to the prosecuting arms of the Department for further investigations and possible prosecutions.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.202
Slightly Positive
Moderation
Sexual
0.0246401469
OpenAI Moderation v1 (007)
Violence
0.0069092108
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034851499
OpenAI Moderation v1 (007)
Harassment
0.0032251304
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012387172
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004689975
OpenAI Moderation v1 (007)
Self-Harm
0.0001715652
OpenAI Moderation v1 (007)
Hate
6.50333E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.44715E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.54045E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.52797E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.973
Magnitude:
71
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.2
Gunning-Fog Score
16.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
Patrick Leahy
The Inspector General's reports confirm that senior officials who report to the office holders at the highest levels at the Justice Department and who also interacted with the White House sacrificed the independence of law enforcement and the rule of law in allegiance to this current administration. The key question should be whether the applicant is qualified for the job. However -- and I have referred to this already -- according to the report, the key question from Monica Goodling, the Department's White House Liaison, and others, was: "What is it about George Bush that makes you want to serve him?" It would be a lot better as, "What is it about the cause of justice that makes you want to serve the cause of justice? "
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.23077
Slightly Positive
Harvard-IV (Absolute)
0.23077
Slightly Positive
Harvard-IV (Logit)
0.43532
VADER
0.933
Very Positive
Moderation
Harassment
0.0136500865
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0114357688
OpenAI Moderation v1 (007)
Violence
0.0110791887
OpenAI Moderation v1 (007)
Violence > Graphic
0.006512877
OpenAI Moderation v1 (007)
Sexual
0.0008691343
OpenAI Moderation v1 (007)
Hate
0.0005306033
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002962
OpenAI Moderation v1 (007)
Self-Harm
0.0002199222
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.09871E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.88299E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.61931E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.354
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.993
Magnitude:
46
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
93
Magnitude:
0.331
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
83
Magnitude:
0.293
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.4
Gunning-Fog Score
16.6
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
34
Patrick Leahy
Federal prosecutors and immigration judges take an oath of office, but that oath is to the Constitution, not to an individual person. They are to serve justice and the American people. This administration has had it wrong from the outset, and all of us, but especially our institutions of Government, have been the victims.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.361
Somewhat Negative
Moderation
Harassment
0.4270129371
OpenAI Moderation v1 (007)
Violence > Graphic
0.0681236328
OpenAI Moderation v1 (007)
Sexual
0.0352472562
OpenAI Moderation v1 (007)
Violence
0.0224253599
OpenAI Moderation v1 (007)
Hate
0.0084444822
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027054204
OpenAI Moderation v1 (007)
Sexual > Minors
0.000972371
OpenAI Moderation v1 (007)
Self-Harm
0.0003222139
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001303873
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.77159E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.09416E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.199
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.331
Magnitude:
126
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
69
Magnitude:
0.136
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Constitution
Score:
56
Magnitude:
0.112
Code:
11015000
Url:
https://cv.iptc.org/newscodes/subjectcode/11015000
Wikidata_id:
Q7755
Wikidata_label:
constitution
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
52
Magnitude:
0.103
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Government
Score:
51
Magnitude:
0.102
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
51
Magnitude:
0.101
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
46
Gunning-Fog Score
11.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
17
Patrick Leahy
There are chilling examples in this week's report that show the danger of putting loyalty to a certain office holder above the duty to enforce the law. The report documents one incident where "[A]n experienced career terrorism prosecutor was rejected by Goodling for a detail to [the] Executive Office of U.S. Attorneys (EOUSA) to work on counterterrorism issues because of his wife's political affiliations." So we lose a very, very experienced person because his wife dared to have a political affiliation of her own. And so the Executive Office of U.S. Attorneys "had to select a much more junior attorney who lacked any experience in counterterrorism issues and who [those] officials believed was not qualified for the position." It is almost as if we have hit the replay button on the tragic aftermath of Katrina, where cronyism was valued over competence.
Sentiment
Loughran McDonald (Relative)
-0.75
Very Negative
Loughran McDonald (Absolute)
-0.75
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.13043
Leans Positive
Harvard-IV (Absolute)
0.13043
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
-0.871
Very Negative
Moderation
Sexual
0.007632465
OpenAI Moderation v1 (007)
Violence
0.0027191136
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026687663
OpenAI Moderation v1 (007)
Harassment
0.0026386992
OpenAI Moderation v1 (007)
Hate
0.0008431914
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004235926
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002491101
OpenAI Moderation v1 (007)
Hate > Threatening
4.4531E-6
OpenAI Moderation v1 (007)
Self-Harm
2.9516E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5762E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.312E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Family
Score:
100
Magnitude:
0.104
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Topic:
Law and Crime
Score:
93.171
Magnitude:
54
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
82
Magnitude:
0.085
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
75
Magnitude:
0.078
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Computing and Information Technology > Software
Score:
65
Magnitude:
0.067
Code:
4003005
Url:
https://cv.iptc.org/newscodes/subjectcode/04003005
Wikidata_id:
Q7397
Wikidata_label:
software
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
57
Magnitude:
0.059
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
56
Magnitude:
0.058
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
40.9
Gunning-Fog Score
13.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.4
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
44
Sprache Difficult Word Count
45
Patrick Leahy
According to the report, the system put in place by the chief of staff of then-Attorney General Alberto Gonzales for selecting immigration judges, appointments that by law are non- political, was the most "systemic use of political or ideological affiliations in screening candidates for career positions [that] occurred." The Department's practice not only subverted the law and placed political loyalty above fairness, it caused serious delays in filling immigration judge positions just as the workload and importance of those judges was increasing. The report reveals that the "principal source" for politically vetted candidates considered for these important positions was the White House -- demonstrating the extent of the political reach of the White House into the Department's career ranks, an unprecedented activity.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.85185
Very Positive
Harvard-IV (Absolute)
0.85185
Very Positive
Harvard-IV (Logit)
2.32239
VADER
0.765
Very Positive
Moderation
Violence > Graphic
0.0408835884
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0135160342
OpenAI Moderation v1 (007)
Violence
0.0130361572
OpenAI Moderation v1 (007)
Sexual
0.0083899176
OpenAI Moderation v1 (007)
Harassment
0.0025382198
OpenAI Moderation v1 (007)
Hate
0.0008702249
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003876573
OpenAI Moderation v1 (007)
Self-Harm
0.000324351
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001498886
OpenAI Moderation v1 (007)
Hate > Threatening
1.82319E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.2917E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General) > Political Systems
Score:
100
Magnitude:
0.819
Code:
11024001
Url:
https://cv.iptc.org/newscodes/subjectcode/11024001
Wikidata_id:
Q28108
Wikidata_label:
political system
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.045
Magnitude:
141
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Government
Score:
74
Magnitude:
0.609
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
62
Magnitude:
0.511
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
6.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
52
Sprache Difficult Word Count
46
Patrick Leahy
There can be no remaining question that this administration encouraged politics to infect the Department and law enforcement. The question, of course, that I have is: What will Attorney General Mukasey and the President do about it to provide accountability?
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
-0.296
Slightly Negative
Moderation
Violence > Graphic
0.0154685331
OpenAI Moderation v1 (007)
Sexual
0.0151633867
OpenAI Moderation v1 (007)
Violence
0.0082001388
OpenAI Moderation v1 (007)
Harassment
0.0044649129
OpenAI Moderation v1 (007)
Hate
0.0027027361
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008334546
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007778412
OpenAI Moderation v1 (007)
Self-Harm
1.98761E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.7438E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.7752E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.7121E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.123
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
87
Magnitude:
0.107
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Immigration
Score:
75.341
Magnitude:
121
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Politics > Politics (General)
Score:
69
Magnitude:
0.084
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.4
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
Patrick Leahy
In our oversight hearing earlier this month, Attorney General Mukasey essentially dismissed the findings of last month's report as the actions of just a few bad apples. This reminds me of the administration's ongoing attempt to place the blame for the actions at Abu Ghraib solely on the shoulders of a few soldiers there rather than see those excesses as a consequence of the policies and practices put into place by the President, the Department of Justice, and the Pentagon.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
-0.361
Somewhat Negative
Moderation
Violence > Graphic
0.0130063811
OpenAI Moderation v1 (007)
Violence
0.006538727
OpenAI Moderation v1 (007)
Sexual
0.006450418
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0048715883
OpenAI Moderation v1 (007)
Harassment
0.002325145
OpenAI Moderation v1 (007)
Hate
0.0010515403
OpenAI Moderation v1 (007)
Sexual > Minors
9.78317E-5
OpenAI Moderation v1 (007)
Self-Harm
9.23297E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.1721E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.03804E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4933E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.09
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.629
Magnitude:
40
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
91
Magnitude:
0.082
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
79
Magnitude:
0.071
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
69
Magnitude:
0.063
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
59
Magnitude:
0.054
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
30
Patrick Leahy
This week's report, like the one that preceded it, makes clear that the problems of injecting politics into the hiring decisions of the Department are rooted deeper than just the actions of a handful of individuals.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.34
Somewhat Positive
Moderation
Harassment
0.0416395837
OpenAI Moderation v1 (007)
Sexual
0.0278853899
OpenAI Moderation v1 (007)
Violence
0.0053879543
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036358684
OpenAI Moderation v1 (007)
Hate
0.0013775081
OpenAI Moderation v1 (007)
Sexual > Minors
0.000940926
OpenAI Moderation v1 (007)
Self-Harm
0.0005237104
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002955417
OpenAI Moderation v1 (007)
Hate > Threatening
4.35386E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.00203E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.3409E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
100
Magnitude:
0.126
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Topic:
Defense
Score:
76.059
Magnitude:
80
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Patrick Leahy
Even with blanket claims of privilege and immunity from the White House in their effort to try to cover up the truth, we continue to learn about the unprecedented and improper reach of politics into the Department's professional ranks. There is only so much they can do to cover up. The truth does come out. And by infusing politics into the hiring of career Assistant U.S. Attorney positions, senior career attorney positions, Main Justice detailees, young career attorneys, and immigration judges, this administration and its operatives have done serious damage to the rule of law. The American people look forward to a serious response from the current leadership of the Department of Justice.
Sentiment
Loughran McDonald (Relative)
-0.25
Slightly Negative
Loughran McDonald (Absolute)
-0.25
Slightly Negative
Loughran McDonald (Logit)
-0.45199
Harvard-IV (Relative)
0.68421
Very Positive
Harvard-IV (Absolute)
0.68421
Very Positive
Harvard-IV (Logit)
1.5506
VADER
0.848
Very Positive
Moderation
Violence > Graphic
0.0338222773
OpenAI Moderation v1 (007)
Harassment
0.0263291498
OpenAI Moderation v1 (007)
Violence
0.0246350712
OpenAI Moderation v1 (007)
Sexual
0.0158181574
OpenAI Moderation v1 (007)
Harassment > Threatening
0.005550576
OpenAI Moderation v1 (007)
Sexual > Minors
0.002395177
OpenAI Moderation v1 (007)
Self-Harm
0.0018399815
OpenAI Moderation v1 (007)
Hate
0.0014364
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001321681
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.24869E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.14284E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.397
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Government Operations
Score:
85.03
Magnitude:
36
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
63
Magnitude:
0.25
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
43.4
Gunning-Fog Score
14.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
38
Sprache Difficult Word Count
34
Note
[The prepared statement of Senator Leahy appears as a submission for the record.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence > Graphic
0.0482605625
OpenAI Moderation v1 (007)
Harassment
0.0188707825
OpenAI Moderation v1 (007)
Sexual
0.0134850983
OpenAI Moderation v1 (007)
Violence
0.004695118
OpenAI Moderation v1 (007)
Sexual > Minors
0.0028766692
OpenAI Moderation v1 (007)
Hate
0.0010177604
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005199055
OpenAI Moderation v1 (007)
Self-Harm
0.0001501116
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.78096E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.4913E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.1971E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.062
Magnitude:
114
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count
Patrick Leahy
Senator Specter?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.8532224223
OpenAI Moderation v1 (007)
Violence
0.0767572434
OpenAI Moderation v1 (007)
Violence > Graphic
0.0745756668
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0072429772
OpenAI Moderation v1 (007)
Hate
0.0049849172
OpenAI Moderation v1 (007)
Sexual
0.0015968508
OpenAI Moderation v1 (007)
Self-Harm
0.0010636219
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004760302
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.00126E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.1877E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.7645E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Patrick Leahy
STATEMENT OF HON. ARLEN SPECTER, A U.S. SENATOR FROM THE STATE
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Self-Harm > Intent
2.9719866812
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7092349008
OpenAI Moderation v1 (007)
Self-Harm
1.4055727981
OpenAI Moderation v1 (007)
Sexual > Minors
0.9466887452
OpenAI Moderation v1 (007)
Sexual
0.9119059891
OpenAI Moderation v1 (007)
Hate
0.657167891
OpenAI Moderation v1 (007)
Harassment
0.2249929123
OpenAI Moderation v1 (007)
Hate > Threatening
0.144502474
OpenAI Moderation v1 (007)
Violence
0.1299033291
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0913551601
OpenAI Moderation v1 (007)
Violence > Graphic
0.0488815131
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
83.9
Gunning-Fog Score
4.5
Coleman-Liau Index
7.7
SMOG Index
6.1
Automated Readability Index
0
Dale-Chall Readability Score
6.7
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Arlen Specter
Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.1063308679
OpenAI Moderation v1 (007)
Violence
0.049551687
OpenAI Moderation v1 (007)
Violence > Graphic
0.0258149114
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0114639821
OpenAI Moderation v1 (007)
Sexual
0.004327259
OpenAI Moderation v1 (007)
Hate
0.0024736515
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0022987977
OpenAI Moderation v1 (007)
Self-Harm
0.0010146891
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004828902
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003172299
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003082364
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Arlen Specter
At the outset, Mr. Fine, I thank you for your work on these very important matters. The independence of an Inspector General is demonstrated by the work you have done here and the last appearance before this Committee on detainees and underscores the importance of Inspectors General in so many of the departments to bring an independent look at the issue, to call it as it is and let the chips fall where they may. And there is no doubt that when we are dealing with positions like immigration judges or the Court of Immigration Appeals, political considerations ought not to be a factor.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.75786
VADER
0.722
Very Positive
Moderation
Harassment
0.0317545113
OpenAI Moderation v1 (007)
Violence
0.0107680309
OpenAI Moderation v1 (007)
Violence > Graphic
0.0072942479
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011888381
OpenAI Moderation v1 (007)
Sexual
0.0007965787
OpenAI Moderation v1 (007)
Hate
0.000779315
OpenAI Moderation v1 (007)
Sexual > Minors
7.19613E-5
OpenAI Moderation v1 (007)
Self-Harm
4.61662E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.8045E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.2387E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3773E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.181
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
85
Magnitude:
0.153
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
83
Magnitude:
0.15
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
83
Magnitude:
0.15
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Punishment > Fine
Score:
56
Magnitude:
0.101
Code:
2004001
Url:
https://cv.iptc.org/newscodes/subjectcode/02004001
Wikidata_id:
Q1243001
Wikidata_label:
fine
Source:
IPTC Subject
Topic:
Crime, Law and Justice > International Law
Score:
54
Magnitude:
0.098
Code:
2011000
Url:
https://cv.iptc.org/newscodes/subjectcode/02011000
Wikidata_id:
Q4394526
Wikidata_label:
international law
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
50.3
Gunning-Fog Score
15.4
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
26
Arlen Specter
The investigation so far has dealt with people who are not at the top of the ladder in the Department of Justice, and it raises a question in my mind as to whether others were involved. You have Monica Goodling and you have Kyle Sampson and you have John Nowacki, all of whom occupied important positions, but not the key positions.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.358
Somewhat Positive
Moderation
Harassment
0.2739405492
OpenAI Moderation v1 (007)
Violence > Graphic
0.1524583204
OpenAI Moderation v1 (007)
Violence
0.0432836299
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0165400721
OpenAI Moderation v1 (007)
Self-Harm
0.0014378566
OpenAI Moderation v1 (007)
Hate
0.0011315032
OpenAI Moderation v1 (007)
Sexual
0.0010620305
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002457671
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002370881
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.46106E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.18264E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.1
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Immigration
Score:
57.221
Magnitude:
104
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Politics
Score:
56
Magnitude:
0.055
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Law and Crime
Score:
26.3
Magnitude:
104
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
52.4
Gunning-Fog Score
15.5
Coleman-Liau Index
10
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Arlen Specter
When you were before this Committee a few weeks ago on the issue of detainees, I expressed my concern about the thoroughness of your investigation on questioning the Director of the FBI, Robert Mueller, from the point of view of the FBI disagreeing with the CIA interrogation tactics, which was a good sign of independence. But what further did Director Mueller do to try to stop it? What effort did he make to take it even to the President? And I believe that it is very important that the investigations go to the very top if that is where the facts lead, and that is a subject which I will want to hear you on when the time comes for questions and answers.
Sentiment
Loughran McDonald (Relative)
-0.77778
Very Negative
Loughran McDonald (Absolute)
-0.77778
Very Negative
Loughran McDonald (Logit)
-1.7346
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.399
Somewhat Positive
Moderation
Violence
0.0175175242
OpenAI Moderation v1 (007)
Violence > Graphic
0.0136838265
OpenAI Moderation v1 (007)
Sexual
0.012049167
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028817078
OpenAI Moderation v1 (007)
Harassment
0.0004909054
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004217662
OpenAI Moderation v1 (007)
Self-Harm
0.000161055
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001138178
OpenAI Moderation v1 (007)
Hate
7.27878E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.11093E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2172E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Espionage and Intelligence
Score:
100
Magnitude:
0.103
Code:
11004000
Url:
https://cv.iptc.org/newscodes/subjectcode/11004000
Wikidata_id:
Q165950
Wikidata_label:
espionage
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.65
Magnitude:
61
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Science and Technology > Research
Score:
63
Magnitude:
0.065
Code:
13006000
Url:
https://cv.iptc.org/newscodes/subjectcode/13006000
Wikidata_id:
Q42240
Wikidata_label:
research
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
53.9
Gunning-Fog Score
15.6
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
23
Arlen Specter
The issue arises as to whether there is potential for criminal prosecution. And when this story broke in the media, of course, the media wants to know instantly with the telephone calls do you favor criminal prosecutions. Well, my response was I would like to know what the facts are first. That is not a very satisfactory answer. It does not make the early editions.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
-0.639
Very Negative
Moderation
Sexual
0.049509661
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020263633
OpenAI Moderation v1 (007)
Violence
0.0020053551
OpenAI Moderation v1 (007)
Harassment
0.0017350132
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011883416
OpenAI Moderation v1 (007)
Self-Harm
0.0005975095
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003009982
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002472293
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001767833
OpenAI Moderation v1 (007)
Hate
0.0001408616
OpenAI Moderation v1 (007)
Hate > Threatening
1.7963E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Media
Score:
100
Magnitude:
0.105
Code:
4010000
Url:
https://cv.iptc.org/newscodes/subjectcode/04010000
Wikidata_id:
Q56611639
Wikidata_label:
media industry
Source:
IPTC Subject
Topic:
Law and Crime
Score:
94.394
Magnitude:
123
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
60.9
Gunning-Fog Score
13.2
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
6.4
Dale-Chall Readability Score
3.6
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
12
Arlen Specter
I have read conflicting reports on whether violations of the civil service laws give rise to a criminal prosecution. Apparently, they do not. That is something we would have to check. Or there is a question of false statements. And I note some Members of Congress have already condemned some of these individuals on those grounds. We have to take a very close look at what the facts are to see what is going on.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.70805
Harvard-IV (Relative)
-0.27273
Slightly Negative
Harvard-IV (Absolute)
-0.27273
Slightly Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.939
Very Negative
Moderation
Violence
0.0144454505
OpenAI Moderation v1 (007)
Sexual
0.0083203471
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039908533
OpenAI Moderation v1 (007)
Harassment
0.0035873134
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010676758
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009975938
OpenAI Moderation v1 (007)
Hate
0.0005117105
OpenAI Moderation v1 (007)
Self-Harm
0.0001937766
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.34425E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.34662E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.24E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Punishment
Score:
100
Magnitude:
0.322
Code:
2004000
Url:
https://cv.iptc.org/newscodes/subjectcode/02004000
Wikidata_id:
Q186361
Wikidata_label:
punishment
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.841
Magnitude:
65
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
75
Magnitude:
0.242
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
74.6
Gunning-Fog Score
9.3
Coleman-Liau Index
10.1
SMOG Index
9.9
Automated Readability Index
5.5
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
20
Arlen Specter
I am glad to see Attorney General Mukasey acting to change these practices. I would like to see, frankly, a very forceful statement out of the Department of Justice as to what they intend to do and what they think about it in some detail. They have the prosecution responsibility. You do not. I would like to see the Department of Justice speak emphatically on this subject. So there is a great deal we have to look at here.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.22378
VADER
0.919
Very Positive
Moderation
Hate
0.0188910897
OpenAI Moderation v1 (007)
Harassment
0.0102827886
OpenAI Moderation v1 (007)
Violence
0.0095858588
OpenAI Moderation v1 (007)
Sexual
0.0025667552
OpenAI Moderation v1 (007)
Sexual > Minors
0.0022793214
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020513127
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003547832
OpenAI Moderation v1 (007)
Self-Harm
0.0001939502
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.7459E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.7409E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7374E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.154
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.02
Magnitude:
75
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
66
Magnitude:
0.101
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
71.4
Gunning-Fog Score
7.3
Coleman-Liau Index
9.4
SMOG Index
10.3
Automated Readability Index
5.3
Dale-Chall Readability Score
3.7
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Arlen Specter
One aspect of the report which I think is highly significant are the compliments which went to Acting Attorney General Peter Keisler. Keisler is quoted as saying, "You should have known that there's a lot of people who believe that these selections are either irrational or so irrational that they are motivated by politics, and that is a problem, as you know." So here is a top Assistant Attorney General who was Acting Attorney General speaking out against his party. Kind of a healthy thing in Washington when that is done on occasion. It is not done often enough where the facts warrant it.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.27297
VADER
0.878
Very Positive
Moderation
Violence
0.0199217509
OpenAI Moderation v1 (007)
Sexual
0.0157249029
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0044198507
OpenAI Moderation v1 (007)
Violence > Graphic
0.0040020044
OpenAI Moderation v1 (007)
Harassment
0.0023229773
OpenAI Moderation v1 (007)
Hate
0.0007761036
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006093298
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001027559
OpenAI Moderation v1 (007)
Self-Harm
3.76974E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.31904E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.799E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parties and Movements
Score:
100
Magnitude:
0.109
Code:
11010000
Url:
https://cv.iptc.org/newscodes/subjectcode/11010000
Wikidata_id:
Q7278
Wikidata_label:
political party
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.075
Magnitude:
79
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Politics (General)
Score:
54
Magnitude:
0.059
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
53.9
Gunning-Fog Score
11.4
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
10.7
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
24
Arlen Specter
And then the report came to this conclusion: "Acting Attorney General Keisler spoke with Mercer and advised him that the review process had been problematic and that many people in the Civil Division believed it had been politicized. Keisler told Mercer that at the appropriate time he would like to have a meeting with senior Department officials to discuss the next year's hiring process to ensure that the problems they encountered in 2006 would not be repeated."
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
-0.128
Leans Negative
Moderation
Harassment
0.7066849619
OpenAI Moderation v1 (007)
Violence
0.1401171321
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.1313605579
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.1053104643
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0972417067
OpenAI Moderation v1 (007)
Self-Harm
0.0331235031
OpenAI Moderation v1 (007)
Sexual
0.0129051521
OpenAI Moderation v1 (007)
Hate
0.0113161725
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014860077
OpenAI Moderation v1 (007)
Hate > Threatening
8.3809E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.36654E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.101
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Social Issue > Missing Person
Score:
99
Magnitude:
0.1
Code:
14017000
Url:
https://cv.iptc.org/newscodes/subjectcode/14017000
Wikidata_id:
Q388505
Wikidata_label:
missing person
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.455
Magnitude:
104
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
26
Arlen Specter
Well, I read that because the nomination of Peter Keisler is pending before this Committee, and he has waited a long time. And the question is qualification. And when you have this kind of independence exhibited by Mr. Keisler and recognized by the Inspector General in what is otherwise a very lurid situation, I think that is something special. It reminds me of an instant long ago when there was a prosecuting attorney in New Jersey named Brendan Byrne. Senator Biden will remember this. Senator Leahy will remember this. So sometimes they comment about the aging Senators. Of course, it is not true, but it is good to have a little corporate memory.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.717
Very Positive
Moderation
Sexual
0.0130566084
OpenAI Moderation v1 (007)
Harassment
0.0040512165
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039433675
OpenAI Moderation v1 (007)
Violence
0.0021725102
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014623153
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009969176
OpenAI Moderation v1 (007)
Self-Harm
0.0004889519
OpenAI Moderation v1 (007)
Hate
0.0002596496
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002254149
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.92219E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.2216E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.338
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.445
Magnitude:
76
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
56.3
Gunning-Fog Score
11
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
6.8
Dale-Chall Readability Score
5
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
31
Sprache Difficult Word Count
32
Arlen Specter
But Brendan Byrne's name was picked up on an FBI tape, and the mob was talking about Brendan Byrne. And they say, "The problem with Byrne is he is honest," which was something rare for somebody in North Jersey at that time. They say business got so bad, the Mafia had to write off several judges in North Jersey. I was DA at the time, Brendan Byrne was the district attorney. Biden had already gotten to the Senate at the age of 19 or some such age.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
0.153
Leans Positive
Moderation
Violence
0.0163278091
OpenAI Moderation v1 (007)
Harassment
0.0079952253
OpenAI Moderation v1 (007)
Sexual
0.0058877198
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031357653
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030872132
OpenAI Moderation v1 (007)
Hate
0.0002096482
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001531126
OpenAI Moderation v1 (007)
Hate > Threatening
8.40285E-5
OpenAI Moderation v1 (007)
Self-Harm
8.17139E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.9497E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.14E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Organized Crime
Score:
100
Magnitude:
0.079
Code:
2010000
Url:
https://cv.iptc.org/newscodes/subjectcode/02010000
Wikidata_id:
Q46952
Wikidata_label:
organized crime
Source:
IPTC Subject
Topic:
Law and Crime
Score:
95.163
Magnitude:
113
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
77.3
Gunning-Fog Score
9.3
Coleman-Liau Index
7.7
SMOG Index
9.5
Automated Readability Index
6.1
Dale-Chall Readability Score
5
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
23
Note
[Laughter.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.0830721168
OpenAI Moderation v1 (007)
Harassment
0.0058752459
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021688978
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017535305
OpenAI Moderation v1 (007)
Violence
0.0011086906
OpenAI Moderation v1 (007)
Self-Harm
0.0009458689
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007330499
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005414478
OpenAI Moderation v1 (007)
Hate
0.0003054273
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000133508
OpenAI Moderation v1 (007)
Hate > Threatening
1.57082E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
93.052
Magnitude:
86
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count
Arlen Specter
But that established Brendan Byrne's reputation. Leahy and I --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0
Neutral
Moderation
Sexual
0.0247207179
OpenAI Moderation v1 (007)
Violence
0.0044146778
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0039536135
OpenAI Moderation v1 (007)
Harassment
0.0032898046
OpenAI Moderation v1 (007)
Self-Harm
0.0024184301
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014088542
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009389692
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007909738
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002290565
OpenAI Moderation v1 (007)
Hate
5.94391E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.5125E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
10.7
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
7
Dale-Chall Readability Score
9
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Patrick Leahy
If you would yield, I served on the board of the National DA Association with Brendan Byrne.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.03791989
OpenAI Moderation v1 (007)
Violence
0.0115124436
OpenAI Moderation v1 (007)
Violence > Graphic
0.0044633885
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041867879
OpenAI Moderation v1 (007)
Harassment
0.0021133754
OpenAI Moderation v1 (007)
Self-Harm
0.0017256223
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011208333
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006902702
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002162947
OpenAI Moderation v1 (007)
Hate
0.0001591389
OpenAI Moderation v1 (007)
Hate > Threatening
5.03072E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
75.1
Gunning-Fog Score
6.8
Coleman-Liau Index
9.8
SMOG Index
11.3
Automated Readability Index
7.6
Dale-Chall Readability Score
7.3
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
Arlen Specter
Well, you and I are not old timers, Patrick, but we have some corporate -- Joe Biden was a public defender. He didn't get to be a prosecuting attorney. But I mention Brendan Byrne because his reputation was established. They named a big basketball arena after Brendan Byrne. And Keisler is almost in Byrne's category, maybe enough to attract the attention of the Chairman of the Judiciary Committee.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.66
Very Positive
Moderation
Harassment
0.0321634259
OpenAI Moderation v1 (007)
Sexual
0.0048058169
OpenAI Moderation v1 (007)
Violence
0.0034710534
OpenAI Moderation v1 (007)
Hate
0.002187268
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017853718
OpenAI Moderation v1 (007)
Self-Harm
0.0004204509
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002338524
OpenAI Moderation v1 (007)
Sexual > Minors
9.51842E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.97503E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.7061E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6793E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.065
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
50.6
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.7
Dale-Chall Readability Score
6.6
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
24
Arlen Specter
Well, I have talked at some length. Regrettably, I cannot stay for this entire proceeding because we are on the floor with the reporter shield bill, which is my bill, and it is coming up for a vote, and I am to speak on it shortly. But I will be following your testimony very closely on this very important subject, Mr. Fine.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.026
Neutral
Moderation
Sexual
0.2722033532
OpenAI Moderation v1 (007)
Harassment
0.0951961847
OpenAI Moderation v1 (007)
Violence
0.0235955551
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0089468449
OpenAI Moderation v1 (007)
Sexual > Minors
0.0025363035
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012830912
OpenAI Moderation v1 (007)
Hate
0.0011054904
OpenAI Moderation v1 (007)
Self-Harm
0.0006474172
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001475008
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.87463E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.45916E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.142
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Law and Crime
Score:
67.387
Magnitude:
68
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Social Issue > People
Score:
53
Magnitude:
0.076
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
73.8
Gunning-Fog Score
10.1
Coleman-Liau Index
8.3
SMOG Index
10.3
Automated Readability Index
5.6
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
17
Arlen Specter
Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
2.1173859015
OpenAI Moderation v1 (007)
Hate
0.191948493
OpenAI Moderation v1 (007)
Violence
0.0071988383
OpenAI Moderation v1 (007)
Sexual
0.0045086799
OpenAI Moderation v1 (007)
Self-Harm
0.0005217761
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003700072
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003598896
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001132273
OpenAI Moderation v1 (007)
Violence > Graphic
5.74137E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.97158E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.67E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Patrick Leahy
Thank you, and we will start with Glenn Fine. I know that Senator Biden wanted to say why he has to leave.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.477
Positive
Moderation
Self-Harm > Intent
2.9663765803
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7037019134
OpenAI Moderation v1 (007)
Self-Harm
1.4028377831
OpenAI Moderation v1 (007)
Sexual > Minors
0.9445787407
OpenAI Moderation v1 (007)
Sexual
0.9086475708
OpenAI Moderation v1 (007)
Hate
0.6548424717
OpenAI Moderation v1 (007)
Harassment
0.2246582182
OpenAI Moderation v1 (007)
Hate > Threatening
0.1439707703
OpenAI Moderation v1 (007)
Violence
0.1294602873
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0910274219
OpenAI Moderation v1 (007)
Violence > Graphic
0.0487309619
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.097
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
2.6
Flesch-Kincaid Ease
95.7
Gunning-Fog Score
4.4
Coleman-Liau Index
6.1
SMOG Index
7.3
Automated Readability Index
1.6
Dale-Chall Readability Score
3.4
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Patrick Leahy
STATEMENT OF HON. JOSEPH R. BIDEN, JR., A U.S. SENATOR FROM THE
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence > Graphic
0.0660720747
OpenAI Moderation v1 (007)
Sexual
0.0225102121
OpenAI Moderation v1 (007)
Violence
0.0076108357
OpenAI Moderation v1 (007)
Sexual > Minors
0.001123468
OpenAI Moderation v1 (007)
Harassment
0.0010545872
OpenAI Moderation v1 (007)
Self-Harm
0.000240275
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.25125E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
4.27675E-5
OpenAI Moderation v1 (007)
Hate
2.69354E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.5302E-6
OpenAI Moderation v1 (007)
Hate > Threatening
8.33E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.6
Flesch-Kincaid Ease
87.5
Gunning-Fog Score
3.9
Coleman-Liau Index
4.5
SMOG Index
5.6
Automated Readability Index
0
Dale-Chall Readability Score
7.4
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Joe Biden
Mr. Chairman, thank you, first, for holding the hearing --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.033182546
OpenAI Moderation v1 (007)
Violence > Graphic
0.0258712884
OpenAI Moderation v1 (007)
Sexual
0.0207578676
OpenAI Moderation v1 (007)
Violence
0.006366719
OpenAI Moderation v1 (007)
Hate
0.0046966044
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019579364
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001317144
OpenAI Moderation v1 (007)
Hate > Threatening
7.47663E-5
OpenAI Moderation v1 (007)
Self-Harm
2.28332E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.451E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.386E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
89.5
Gunning-Fog Score
1.8
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
3.3
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Patrick Leahy
It is not that we do not love you that they are all leaving, but go ahead.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.12
Leans Negative
Moderation
Violence > Graphic
0.1043387456
OpenAI Moderation v1 (007)
Harassment
0.0446230668
OpenAI Moderation v1 (007)
Violence
0.0429495354
OpenAI Moderation v1 (007)
Hate
0.0216756191
OpenAI Moderation v1 (007)
Sexual
0.0026121274
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000752222
OpenAI Moderation v1 (007)
Sexual > Minors
6.42335E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.56258E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.6498E-6
OpenAI Moderation v1 (007)
Self-Harm
6.1903E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.37E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Family > Courtship
Score:
100
Magnitude:
0.124
Code:
14006006
Url:
https://cv.iptc.org/newscodes/subjectcode/14006006
Wikidata_id:
Q376596
Wikidata_label:
courtship
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
59
Magnitude:
0.073
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
51
Magnitude:
0.063
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
95
Gunning-Fog Score
6.8
Coleman-Liau Index
3.6
SMOG Index
3.3
Automated Readability Index
2.6
Dale-Chall Readability Score
0.8
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
2
Joe Biden
Well, this thing about corporate memory, I have observed that corporate memory, that assumes you have a wealth of experience and memories that go back. The problem is the older you get, the harder it is to recall them. But, Mr. Chairman, thank you for the hearing.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.625
Very Positive
Moderation
Violence
0.0204094351
OpenAI Moderation v1 (007)
Harassment
0.0126990955
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041456038
OpenAI Moderation v1 (007)
Hate
0.0040712977
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005126595
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003679751
OpenAI Moderation v1 (007)
Sexual
0.0001860685
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000174044
OpenAI Moderation v1 (007)
Self-Harm
0.000118067
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001147168
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.07302E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
74.3
Gunning-Fog Score
9.8
Coleman-Liau Index
10.2
SMOG Index
10.3
Automated Readability Index
5.3
Dale-Chall Readability Score
5.3
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
12
Joe Biden
Mr. Fine, I just wanted to explain that after your testimony I will be leaving. I chair another Committee, and the Prime Minister of Pakistan is our witness -- not our witness, our guest. And so that is why I will be leaving.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.202
Slightly Positive
Moderation
Harassment
0.217955932
OpenAI Moderation v1 (007)
Violence > Graphic
0.0345284294
OpenAI Moderation v1 (007)
Violence
0.0334266457
OpenAI Moderation v1 (007)
Hate
0.023649857
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0059105365
OpenAI Moderation v1 (007)
Sexual
0.0029046798
OpenAI Moderation v1 (007)
Sexual > Minors
0.000947842
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001986678
OpenAI Moderation v1 (007)
Self-Harm
0.0001812896
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8211E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.61152E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
100
Magnitude:
0.361
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
75.3
Gunning-Fog Score
6.1
Coleman-Liau Index
8.6
SMOG Index
9.7
Automated Readability Index
3.3
Dale-Chall Readability Score
3.9
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10
Joe Biden
I would associate myself with the remarks of both my colleagues. Facts do matter. It is important. And the one central thing, if I do not get a chance to ask you questions -- and maybe I can submit a few in writing -- for me, in my experience with seven Presidents, it is not often that someone at Goodling and Sampson's level are able to have this kind of latitude without someone above them instructing them. And I would very much like to know where this goes, if it goes anywhere, as the Senator from Pennsylvania indicated.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.524
Very Positive
Moderation
Harassment
0.0626567635
OpenAI Moderation v1 (007)
Violence > Graphic
0.0524115283
OpenAI Moderation v1 (007)
Violence
0.0354313554
OpenAI Moderation v1 (007)
Hate
0.012307764
OpenAI Moderation v1 (007)
Sexual
0.0118152857
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018072715
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004153006
OpenAI Moderation v1 (007)
Self-Harm
9.41553E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.82093E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.4579E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6886E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.052
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
61.3
Gunning-Fog Score
12.3
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
8.5
Dale-Chall Readability Score
3.3
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
20
Joe Biden
I thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.153026043
OpenAI Moderation v1 (007)
Violence > Graphic
0.0785524084
OpenAI Moderation v1 (007)
Harassment
0.0588619732
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0237994667
OpenAI Moderation v1 (007)
Hate
0.0034222576
OpenAI Moderation v1 (007)
Sexual
0.0012501815
OpenAI Moderation v1 (007)
Sexual > Minors
0.000294775
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001716015
OpenAI Moderation v1 (007)
Self-Harm
3.04536E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.6659E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1746E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
37.747
Magnitude:
98
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
1.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Patrick Leahy
Thank you very much, and we will find out.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence > Graphic
0.0449425715
OpenAI Moderation v1 (007)
Harassment
0.0428085186
OpenAI Moderation v1 (007)
Violence
0.0239002024
OpenAI Moderation v1 (007)
Sexual
0.0086772605
OpenAI Moderation v1 (007)
Hate
0.003709798
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006420992
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005212499
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001148872
OpenAI Moderation v1 (007)
Self-Harm
5.0349E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3341E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.2434E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Finance
Score:
100
Magnitude:
0.064
Code:
4006018
Url:
https://cv.iptc.org/newscodes/subjectcode/04006018
Wikidata_id:
Q253613
Wikidata_label:
personal finance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
1
Flesch-Kincaid Ease
100
Gunning-Fog Score
3.6
Coleman-Liau Index
5.1
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.4
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Patrick Leahy
I would note that Glenn Fine was confirmed by the U.S. Senate as the Inspector General for the Department of Justice on December 15, 2000. He has worked with the Department of Justice Office of the Inspector General, OIG, since January 1995. Initially, he was Special Counsel to the Inspector General. Before joining the OIG, Mr. Fine was an attorney specializing in labor and employment law at a law firm in Washington. Prior to that, he served as an Assistant U.S. Attorney in the Washington, D.C., U.S. Attorney's Office. He graduated magna cum laude from Harvard College in 1979 with an A.B. degree in economics. And so people will not think he was solely studying, he was co-captain of the varsity basketball team and was drafted by the San Antonio Spurs of the NBA. I see a smile. I think there are probably days he wishes -- Mr. Fine was a Rhodes Scholar. He earned his B.A. and his M.A. degrees from Oxford and received his law degree magna cum laude from Harvard Law School in 1985.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.943
Very Positive
Moderation
Harassment
0.0440118252
OpenAI Moderation v1 (007)
Sexual
0.0148835083
OpenAI Moderation v1 (007)
Violence > Graphic
0.0140038363
OpenAI Moderation v1 (007)
Violence
0.011232595
OpenAI Moderation v1 (007)
Hate
0.0075808843
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008274609
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005563989
OpenAI Moderation v1 (007)
Self-Harm
0.0001281622
OpenAI Moderation v1 (007)
Hate > Threatening
3.44699E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.19978E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.5E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.238
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
72
Magnitude:
0.171
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Education > University
Score:
51
Magnitude:
0.122
Code:
5007000
Url:
https://cv.iptc.org/newscodes/subjectcode/05007000
Wikidata_id:
Q3918
Wikidata_label:
university
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
77.8
Gunning-Fog Score
5.4
Coleman-Liau Index
8.4
SMOG Index
9
Automated Readability Index
1.5
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
62
Sprache Difficult Word Count
50
Patrick Leahy
Mr. Fine, please go ahead, sir.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.477
Positive
Moderation
Violence > Graphic
0.1213870477
OpenAI Moderation v1 (007)
Violence
0.0421110948
OpenAI Moderation v1 (007)
Harassment
0.0280817505
OpenAI Moderation v1 (007)
Sexual
0.0275804254
OpenAI Moderation v1 (007)
Hate
0.0015433721
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008184699
OpenAI Moderation v1 (007)
Self-Harm
0.0006754098
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000253886
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.38399E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.3407E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.7348E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Punishment > Fine
Score:
100
Magnitude:
0.161
Code:
2004001
Url:
https://cv.iptc.org/newscodes/subjectcode/02004001
Wikidata_id:
Q1243001
Wikidata_label:
fine
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.336
Magnitude:
179
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
5.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.8
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3
Joe Biden
Underachiever.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence > Graphic
0.1654640655
OpenAI Moderation v1 (007)
Violence
0.0719251228
OpenAI Moderation v1 (007)
Harassment
0.0507048739
OpenAI Moderation v1 (007)
Hate
0.0082445884
OpenAI Moderation v1 (007)
Sexual
0.0074083095
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002384686
OpenAI Moderation v1 (007)
Self-Harm
0.0003920268
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002262464
OpenAI Moderation v1 (007)
Sexual > Minors
9.70546E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.51393E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.6097E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.4
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Note
[Laughter.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.2792003332
OpenAI Moderation v1 (007)
Violence
0.0400860154
OpenAI Moderation v1 (007)
Hate
0.0360933424
OpenAI Moderation v1 (007)
Violence > Graphic
0.0198500973
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003611041
OpenAI Moderation v1 (007)
Sexual
0.0001754243
OpenAI Moderation v1 (007)
Hate > Threatening
8.03525E-5
OpenAI Moderation v1 (007)
Self-Harm
1.87166E-5
OpenAI Moderation v1 (007)
Sexual > Minors
9.9924E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.183E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.419E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
86.778
Magnitude:
1
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count
Glenn Fine
Thank you, Mr. Chairman, Senator Specter, members of the Committee. I appreciate your invitation to testify at this hearing about two reports recently issued by the Office of the Inspector General and the Office of Professional Responsibility on allegations relating to politicized hiring at the Justice Department.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.823
Very Positive
Moderation
Violence > Graphic
0.1192974742
OpenAI Moderation v1 (007)
Violence
0.0205617267
OpenAI Moderation v1 (007)
Harassment
0.0093708273
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035974295
OpenAI Moderation v1 (007)
Sexual
0.0026994569
OpenAI Moderation v1 (007)
Hate
0.0010243565
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003242811
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001396078
OpenAI Moderation v1 (007)
Self-Harm
2.45452E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.01343E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.2308E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.117
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
97
Magnitude:
0.114
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
82
Magnitude:
0.097
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
19.9
Gunning-Fog Score
12.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
24
Glenn Fine
The first joint report, issued on June 24th, examined hiring practices in the Department's Honors Program and Summer Law Intern Program. The second report, issued on Monday, examined allegations that Monica Goodling and other staff in the Attorney General's office inappropriately considered political affiliations when hiring for career Department positions.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.511
Very Positive
Moderation
Violence
0.0412837631
OpenAI Moderation v1 (007)
Violence > Graphic
0.0264440227
OpenAI Moderation v1 (007)
Harassment
0.0096164025
OpenAI Moderation v1 (007)
Sexual
0.0060872862
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013978174
OpenAI Moderation v1 (007)
Hate
0.0013440057
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002398368
OpenAI Moderation v1 (007)
Self-Harm
3.21518E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.53404E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.1056E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.998E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.166
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.382
Magnitude:
47
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
8.9
Gunning-Fog Score
17.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
27
Glenn Fine
With regard to the first report, the Department's Honors Program is the exclusive means by which the Department hires recent law school graduates. These are career positions, and, therefore, Department policy and Federal civil service law prohibit discrimination on the basis of political affiliations. However, the evidence in our investigation showed that a Screening Committee established by the Department in 2002 deselected for interviews those candidates with Democratic Party and liberal affiliations apparent on their applications at a significantly higher rate than applicants with Republican Party, conservative, or neutral affiliations. This pattern continued even when we compared a subset of academically highly qualified candidates.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.93156
VADER
0.848
Very Positive
Moderation
Violence
0.0392586138
OpenAI Moderation v1 (007)
Violence > Graphic
0.0096571202
OpenAI Moderation v1 (007)
Harassment
0.0093117786
OpenAI Moderation v1 (007)
Sexual
0.0022482493
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020316786
OpenAI Moderation v1 (007)
Hate
0.0006885877
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001261967
OpenAI Moderation v1 (007)
Hate > Threatening
4.05741E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.15707E-5
OpenAI Moderation v1 (007)
Self-Harm
9.6286E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.0708E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parties and Movements
Score:
100
Magnitude:
0.403
Code:
11010000
Url:
https://cv.iptc.org/newscodes/subjectcode/11010000
Wikidata_id:
Q7278
Wikidata_label:
political party
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
53
Magnitude:
0.213
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
45.661
Magnitude:
50
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
3.9
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
49
Sprache Difficult Word Count
51
Glenn Fine
From 2003 to 2005, the Screening Committees made few deselections, and these decisions could reasonably be explained on the basis of candidates' academic qualifications.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0
Neutral
Moderation
Sexual
0.0553478487
OpenAI Moderation v1 (007)
Violence
0.0199167363
OpenAI Moderation v1 (007)
Sexual > Minors
0.0138225878
OpenAI Moderation v1 (007)
Harassment
0.0046966405
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028630044
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019368874
OpenAI Moderation v1 (007)
Self-Harm
0.0005175912
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003472054
OpenAI Moderation v1 (007)
Hate > Threatening
8.17595E-5
OpenAI Moderation v1 (007)
Hate
7.86054E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.8459E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.059
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Civil Rights
Score:
89.397
Magnitude:
103
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.9
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Glenn Fine
However, we found that two members of the 2006 Screening Committee -- Esther Slater McDonald and Michael Elston -- inappropriately considered political or ideological affiliations in deselecting many candidates.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0
Neutral
Moderation
Self-Harm > Intent
2.9719866812
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7092349008
OpenAI Moderation v1 (007)
Self-Harm
1.4055727981
OpenAI Moderation v1 (007)
Sexual > Minors
0.9466887452
OpenAI Moderation v1 (007)
Sexual
0.9119056165
OpenAI Moderation v1 (007)
Hate
0.657168217
OpenAI Moderation v1 (007)
Harassment
0.2249929123
OpenAI Moderation v1 (007)
Hate > Threatening
0.1445024158
OpenAI Moderation v1 (007)
Violence
0.1299033291
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0913551601
OpenAI Moderation v1 (007)
Violence > Graphic
0.0488815131
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.063
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Politics > Election > Political Candidates
Score:
81
Magnitude:
0.051
Code:
11003001
Url:
https://cv.iptc.org/newscodes/subjectcode/11003001
Wikidata_id:
Q19772737
Wikidata_label:
political candidate
Source:
IPTC Subject
Topic:
Education
Score:
72.812
Magnitude:
22
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16
Glenn Fine
As just one example -- and many more are discussed in our report -- McDonald and Elston deselected an Honors Program candidate who was first in his class at Georgetown Law School, had clerked for a judge on the U.S. District Court, and was clerking for a judge on the Second Circuit Court of Appeals. However, this candidate had also worked for a Democratic U.S. Senator and a human rights organization and was deselected.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.83321
VADER
0.511
Very Positive
Moderation
Sexual
0.0467882957
OpenAI Moderation v1 (007)
Harassment
0.015536767
OpenAI Moderation v1 (007)
Violence
0.0047324767
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013415548
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012161182
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001483138
OpenAI Moderation v1 (007)
Self-Harm
0.0001266224
OpenAI Moderation v1 (007)
Hate
3.4565E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.40009E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.70058E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.4422E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.922
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Human Rights
Score:
73
Magnitude:
0.675
Code:
11007000
Url:
https://cv.iptc.org/newscodes/subjectcode/11007000
Wikidata_id:
Q8458
Wikidata_label:
human rights
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.4
Flesch-Kincaid Ease
64
Gunning-Fog Score
9.3
Coleman-Liau Index
10.9
SMOG Index
11
Automated Readability Index
6.1
Dale-Chall Readability Score
5.1
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
25
Glenn Fine
We concluded that McDonald's and Elston's actions constituted misconduct and violated Department policy and Federal civil service law.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.527
Very Negative
Moderation
Harassment
0.2466259059
OpenAI Moderation v1 (007)
Violence > Graphic
0.0891465228
OpenAI Moderation v1 (007)
Hate
0.0377039512
OpenAI Moderation v1 (007)
Violence
0.0090381167
OpenAI Moderation v1 (007)
Sexual
0.0053513115
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012354529
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002938549
OpenAI Moderation v1 (007)
Self-Harm
0.0001858428
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.1577E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.95759E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.4062E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Religion and Belief > Values > Corrupt Practices
Score:
100
Magnitude:
0.101
Code:
12006002
Url:
https://cv.iptc.org/newscodes/subjectcode/12006002
Wikidata_id:
Q5173053
Wikidata_label:
Corrupt practices
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime
Score:
68
Magnitude:
0.069
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
64
Magnitude:
0.065
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Glenn Fine
Our second report, issued on Monday, described the results of our investigation into actions by Monica Goodling and other staff in the Attorney General's office. We concluded that Goodling regularly considered political affiliations in screening candidates for career positions at the Department, which also was misconduct and violated Department policy and Federal civil service law.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.527
Very Negative
Moderation
Harassment
1.0736189783
OpenAI Moderation v1 (007)
Violence > Graphic
0.0839528686
OpenAI Moderation v1 (007)
Violence
0.071539497
OpenAI Moderation v1 (007)
Hate
0.0638906437
OpenAI Moderation v1 (007)
Harassment > Threatening
0.048632751
OpenAI Moderation v1 (007)
Sexual
0.0318405422
OpenAI Moderation v1 (007)
Hate > Threatening
0.0052677384
OpenAI Moderation v1 (007)
Self-Harm
0.0037821381
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012263004
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001280859
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.49588E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Crime
Score:
100
Magnitude:
0.101
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Law and Crime
Score:
86.22
Magnitude:
18
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Election > Political Candidates
Score:
73
Magnitude:
0.074
Code:
11003001
Url:
https://cv.iptc.org/newscodes/subjectcode/11003001
Wikidata_id:
Q19772737
Wikidata_label:
political candidate
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
69
Magnitude:
0.07
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
66
Magnitude:
0.067
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
66
Magnitude:
0.067
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Religion and Belief > Values > Corrupt Practices
Score:
57
Magnitude:
0.057
Code:
12006002
Url:
https://cv.iptc.org/newscodes/subjectcode/12006002
Wikidata_id:
Q5173053
Wikidata_label:
Corrupt practices
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
3.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
30
Glenn Fine
For example, in one instance the interim U.S. Attorney in the District of Columbia sought approval from Goodling to hire an Assistant United States Attorney for a vacant position. Goodling responded that the candidate gave her pause because, judging from his resume, he appeared to be a "liberal Democrat." Goodling also said she was reluctant to approve the request because she expected that Republican congressional staff might be interested in applying for AUSA positions in Washington. Only after the U.S. Attorney objected was he allowed to hire the AUSA.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.83333
Very Positive
Harvard-IV (Absolute)
0.83333
Very Positive
Harvard-IV (Logit)
2.03688
VADER
0.765
Very Positive
Moderation
Violence > Graphic
0.2098664176
OpenAI Moderation v1 (007)
Harassment
0.0765581848
OpenAI Moderation v1 (007)
Violence
0.0723198464
OpenAI Moderation v1 (007)
Sexual
0.0367904897
OpenAI Moderation v1 (007)
Hate
0.0050810209
OpenAI Moderation v1 (007)
Self-Harm
0.0024290093
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017520444
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006298811
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001875442
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.65017E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.2514E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.342
Magnitude:
55
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
45.6
Gunning-Fog Score
11.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8
Dale-Chall Readability Score
7.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
39
Sprache Difficult Word Count
36
Glenn Fine
In addition, Goodling often used political affiliations to select or reject career attorney candidates for temporary details to Department offices. This was particularly damaging to the Department because it resulted in high-quality candidates for important details being rejected in favor of less qualified candidates. Perhaps the most troubling example, mentioned by Senator Leahy, an experienced career terrorism prosecutor was rejected by Goodling for a detail to work on counterterrorism issues in the Executive Office for U.S. Attorneys because of his wife's political affiliation. Instead, EOUSA officials had to select a more junior attorney who lacked experience with counterterrorism issues and who the EOUSA officials believed was not qualified for the position.
Sentiment
Loughran McDonald (Relative)
-0.71429
Very Negative
Loughran McDonald (Absolute)
-0.71429
Very Negative
Loughran McDonald (Logit)
-1.46634
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.66329
VADER
-0.957
Very Negative
Moderation
Harassment
0.6051258184
OpenAI Moderation v1 (007)
Hate
0.025256112
OpenAI Moderation v1 (007)
Violence
0.014471852
OpenAI Moderation v1 (007)
Violence > Graphic
0.008231838
OpenAI Moderation v1 (007)
Sexual
0.0039358649
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035693265
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005539993
OpenAI Moderation v1 (007)
Hate > Threatening
0.000134631
OpenAI Moderation v1 (007)
Self-Harm
2.20065E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.6364E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.1478E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election > Political Candidates
Score:
100
Magnitude:
0.192
Code:
11003001
Url:
https://cv.iptc.org/newscodes/subjectcode/11003001
Wikidata_id:
Q19772737
Wikidata_label:
political candidate
Source:
IPTC Subject
Topic:
Law and Crime
Score:
95.699
Magnitude:
91
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Election
Score:
67
Magnitude:
0.129
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
11.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
53
Sprache Difficult Word Count
42
Glenn Fine
The most systematic use of improper political or ideological affiliations in screening candidates for career positions occurred in the selection of immigration judges. Under a new process implemented by Kyle Sampson in 2004, immigration judge candidates were treated as political appointees. Goodling used a variety of techniques for determining candidates' political affiliations, such as researching their political contributions and voter registration records and using an Internet search string that contained political terms.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.88889
Very Positive
Harvard-IV (Absolute)
0.88889
Very Positive
Harvard-IV (Logit)
2.45674
VADER
0
Neutral
Moderation
Harassment
0.0137512034
OpenAI Moderation v1 (007)
Violence > Graphic
0.0069124144
OpenAI Moderation v1 (007)
Hate
0.005920335
OpenAI Moderation v1 (007)
Sexual
0.0046299756
OpenAI Moderation v1 (007)
Violence
0.0046033441
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001760995
OpenAI Moderation v1 (007)
Self-Harm
0.0001202573
OpenAI Moderation v1 (007)
Sexual > Minors
6.84269E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.87486E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.5418E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7565E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.346
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
95.781
Magnitude:
112
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Election > Political Candidates
Score:
84
Magnitude:
0.289
Code:
11003001
Url:
https://cv.iptc.org/newscodes/subjectcode/11003001
Wikidata_id:
Q19772737
Wikidata_label:
political candidate
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
79
Magnitude:
0.272
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Politics > Election
Score:
52
Magnitude:
0.181
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
37
Sprache Difficult Word Count
36
Glenn Fine
Not only did this process violate the civil service law and Department policy, it also caused significant delays in appointing immigration judges. These delays increased the burden on the immigration courts, which already were experiencing an increased workload and a high vacancy rate.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
0.273
Slightly Positive
Moderation
Harassment
0.2052119933
OpenAI Moderation v1 (007)
Violence > Graphic
0.0177085036
OpenAI Moderation v1 (007)
Violence
0.0140401782
OpenAI Moderation v1 (007)
Hate
0.0046866095
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022548584
OpenAI Moderation v1 (007)
Sexual
0.0010912524
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001249892
OpenAI Moderation v1 (007)
Sexual > Minors
2.87968E-5
OpenAI Moderation v1 (007)
Self-Harm
7.8575E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.838E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.782E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.276
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
87
Magnitude:
0.24
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
84
Magnitude:
0.232
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime
Score:
78
Magnitude:
0.216
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
69
Magnitude:
0.189
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Immigration
Score:
53.405
Magnitude:
71
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
20.616
Magnitude:
71
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.7
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.7
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
20
Glenn Fine
Both prior to and since issuance of our two reports on politicized hiring, the Department has taken steps to attempt to prevent the serious problems raised by these actions from occurring again. Attorney General Mukasey has agreed to implement all the recommendations of our reports.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.202
Slightly Negative
Moderation
Harassment
0.1810663496
OpenAI Moderation v1 (007)
Violence > Graphic
0.0788538251
OpenAI Moderation v1 (007)
Violence
0.0332361786
OpenAI Moderation v1 (007)
Sexual
0.0247196818
OpenAI Moderation v1 (007)
Hate
0.0157635295
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005728609
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005107358
OpenAI Moderation v1 (007)
Self-Harm
0.0003236935
OpenAI Moderation v1 (007)
Hate > Threatening
0.000157197
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.70685E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.88349E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
100
Magnitude:
0.082
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Topic:
Immigration
Score:
91.198
Magnitude:
43
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.7
Gunning-Fog Score
16.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19
Glenn Fine
Finally, I want to note that the OIG and OPR are now jointly investigating allegations related to the removal of several United States Attorneys as well as allegations that Bradley Schlozman and others used political affiliations in hiring and personnel decisions in the Department's Civil Rights Division. Because these investigations are ongoing, I should not discuss them. However, I want to assure the Committee that the OIG and OPR are working very hard on these investigations and will issue our reports as expeditiously as possible when those investigations are complete.
Sentiment
Loughran McDonald (Relative)
-0.71429
Very Negative
Loughran McDonald (Absolute)
-0.71429
Very Negative
Loughran McDonald (Logit)
-1.46634
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.738
Very Positive
Moderation
Harassment
0.1512085786
OpenAI Moderation v1 (007)
Violence > Graphic
0.1490337425
OpenAI Moderation v1 (007)
Sexual
0.0224849005
OpenAI Moderation v1 (007)
Violence
0.0217562265
OpenAI Moderation v1 (007)
Hate
0.0149918866
OpenAI Moderation v1 (007)
Self-Harm
0.0014385824
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008952229
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004503472
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002971521
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.50457E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.41848E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
96.108
Magnitude:
45
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
20.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
34
Glenn Fine
In conclusion, I believe that the Department must ensure that the serious problems and misconduct we found in our two reports about politicized hiring for career positions in the Department do not recur. Implementation of our recommendations and vigilance by current and future Department leaders can help prevent a recurrence of the serious misconduct and violations of Federal civil service law and Department policy that are described throughout our reports.
Sentiment
Loughran McDonald (Relative)
-0.55556
Very Negative
Loughran McDonald (Absolute)
-0.55556
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.76214
VADER
-0.318
Somewhat Negative
Moderation
Harassment
0.5607265048
OpenAI Moderation v1 (007)
Violence
0.053314853
OpenAI Moderation v1 (007)
Hate
0.0395086186
OpenAI Moderation v1 (007)
Sexual
0.0106469772
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0065196691
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037368009
OpenAI Moderation v1 (007)
Sexual > Minors
0.0026621776
OpenAI Moderation v1 (007)
Hate > Threatening
0.0018719784
OpenAI Moderation v1 (007)
Self-Harm
0.0008142953
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003613334
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003408778
OpenAI Moderation v1 (007)
Topics
Topic:
Religion and Belief > Values > Corrupt Practices
Score:
100
Magnitude:
0.22
Code:
12006002
Url:
https://cv.iptc.org/newscodes/subjectcode/12006002
Wikidata_id:
Q5173053
Wikidata_label:
Corrupt practices
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.936
Magnitude:
90
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
16.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
27
Glenn Fine
That concludes my prepared statement, and I would be pleased to answer any questions.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.586
Very Positive
Moderation
Harassment
0.038907773
OpenAI Moderation v1 (007)
Violence > Graphic
0.0189071638
OpenAI Moderation v1 (007)
Sexual
0.0139710392
OpenAI Moderation v1 (007)
Violence
0.0081203245
OpenAI Moderation v1 (007)
Hate
0.0067667381
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004755701
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003666751
OpenAI Moderation v1 (007)
Self-Harm
0.0001132075
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.15194E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.7096E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.3783E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
96.845
Magnitude:
70
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
59.7
Gunning-Fog Score
8.5
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
9.1
Dale-Chall Readability Score
5.2
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5
Note
[The prepared statement of Mr. Fine appears as a submission for the record.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.2440343611
OpenAI Moderation v1 (007)
Sexual
0.0240556852
OpenAI Moderation v1 (007)
Hate
0.0214261861
OpenAI Moderation v1 (007)
Violence
0.0123175676
OpenAI Moderation v1 (007)
Violence > Graphic
0.0101837722
OpenAI Moderation v1 (007)
Sexual > Minors
0.0038291066
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023743769
OpenAI Moderation v1 (007)
Hate > Threatening
2.15149E-5
OpenAI Moderation v1 (007)
Self-Harm
2.06545E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7211E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.668E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count
Patrick Leahy
Thank you very much, Mr. Fine.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.556
Very Positive
Moderation
Harassment
0.0607507303
OpenAI Moderation v1 (007)
Hate
0.0343441905
OpenAI Moderation v1 (007)
Sexual
0.0099633449
OpenAI Moderation v1 (007)
Violence
0.0050579845
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021326354
OpenAI Moderation v1 (007)
Violence > Graphic
0.001763951
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012828503
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002006092
OpenAI Moderation v1 (007)
Self-Harm
6.69682E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.58823E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.74E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
5.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Patrick Leahy
According to your report, Monica Goodling, the Department's White House Liaison and senior counsel to the Attorney General, had a number of techniques to screen hires for political and ideological loyalty, especially loyalty to the President. I remember we brought this out at a hearing whether she would ask questions of applicants such as, What is it about George W. Bush that makes you want to serve him? That seems unusual because usually people ask, What is it about the U.S. Government that makes you want to serve in the United States Government?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.907
Very Positive
Moderation
Harassment
0.0579012092
OpenAI Moderation v1 (007)
Hate
0.0386236818
OpenAI Moderation v1 (007)
Violence
0.0170825864
OpenAI Moderation v1 (007)
Sexual
0.011330394
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006205641
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005843952
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005534785
OpenAI Moderation v1 (007)
Hate > Threatening
9.41557E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.65147E-5
OpenAI Moderation v1 (007)
Self-Harm
4.27452E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.9389E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.17
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Politics > Government
Score:
82
Magnitude:
0.14
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
49.6
Gunning-Fog Score
11.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.9
Dale-Chall Readability Score
4.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
30
Patrick Leahy
Kyle Sampson, then Chief of Staff to Attorney General Gonzales, put in place a system for screening and selecting immigration judges that were fellow Republican loyalists, the principal source of which was the White House positions.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.273
Slightly Positive
Moderation
Harassment
0.6168372929
OpenAI Moderation v1 (007)
Violence > Graphic
0.052549917
OpenAI Moderation v1 (007)
Violence
0.0248830067
OpenAI Moderation v1 (007)
Sexual
0.0185588156
OpenAI Moderation v1 (007)
Hate
0.0155292277
OpenAI Moderation v1 (007)
Harassment > Threatening
0.013578817
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021054055
OpenAI Moderation v1 (007)
Self-Harm
3.89337E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.94925E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0991E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.171E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.114
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Labor
Score:
24.185
Magnitude:
94
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16
Patrick Leahy
Now, in the course of our investigations into these matters and the firing of U.S. Attorneys, and despite substantial evidence showing White House involvement in the firings and in the effort for a politically motivated prosecutions, in response to congressional inquiries about these matters, the President has invoked a blanket and unsubstantiated claim of Executive privilege to avoid complying with our subpoenas, and to prevent Karl Rove and Harriet Miers from even appearing to testify here and in the House.
Sentiment
Loughran McDonald (Relative)
-0.81818
Very Negative
Loughran McDonald (Absolute)
-0.81818
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
0.242
Slightly Positive
Moderation
Violence > Graphic
0.004110501
OpenAI Moderation v1 (007)
Violence
0.0027972796
OpenAI Moderation v1 (007)
Harassment
0.0015950516
OpenAI Moderation v1 (007)
Sexual
0.001170608
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008070167
OpenAI Moderation v1 (007)
Hate
0.0004643609
OpenAI Moderation v1 (007)
Self-Harm
0.0001248397
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.99066E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.86513E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.7512E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.1068E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.074
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Immigration
Score:
93.167
Magnitude:
36
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
26.9
Gunning-Fog Score
18.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
31
Patrick Leahy
Now, I take it you were not allowed to interview either Mr. Rove or Ms. Miers?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Sexual
0.0813350722
OpenAI Moderation v1 (007)
Violence
0.0412587833
OpenAI Moderation v1 (007)
Violence > Graphic
0.031085551
OpenAI Moderation v1 (007)
Harassment
0.0287350063
OpenAI Moderation v1 (007)
Sexual > Minors
0.0036017962
OpenAI Moderation v1 (007)
Self-Harm
0.0021885449
OpenAI Moderation v1 (007)
Hate
0.0020621022
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003312906
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003107425
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002299317
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.58393E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
88.057
Magnitude:
81
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.7
Flesch-Kincaid Ease
85.1
Gunning-Fog Score
7.1
Coleman-Liau Index
5.9
SMOG Index
7.9
Automated Readability Index
0
Dale-Chall Readability Score
6.2
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
Glenn Fine
We did not interview Mr. Rove or Ms. Miers in this investigation. As we discuss in the report, we were able to interview someone in the Office of Political Affairs at the Department who was involved with Goodling and Williams in selecting immigration judges. We did interview him. From the indications that we saw in both the e-mails to and from the Department and from the testimony of the Department, we did not see indications that it went higher to Mr. Rove or Ms. Miers.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0
Neutral
Moderation
Self-Harm > Intent
2.9719866812
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7092349008
OpenAI Moderation v1 (007)
Self-Harm
1.4055727981
OpenAI Moderation v1 (007)
Sexual > Minors
0.9466887452
OpenAI Moderation v1 (007)
Sexual
0.9119056165
OpenAI Moderation v1 (007)
Hate
0.657168217
OpenAI Moderation v1 (007)
Harassment
0.2249929123
OpenAI Moderation v1 (007)
Hate > Threatening
0.1445024158
OpenAI Moderation v1 (007)
Violence
0.1299033291
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0913551601
OpenAI Moderation v1 (007)
Violence > Graphic
0.0488815131
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Internet
Score:
100
Magnitude:
0.124
Code:
1027000
Url:
https://cv.iptc.org/newscodes/subjectcode/01027000
Wikidata_id:
Q1153191
Wikidata_label:
online newspaper
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
76
Magnitude:
0.094
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
64.1
Gunning-Fog Score
9
Coleman-Liau Index
10.2
SMOG Index
11.1
Automated Readability Index
4.8
Dale-Chall Readability Score
5.5
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
21
Glenn Fine
There is one instance where Mr. Rove was involved, and that is, he recommended an immigration judge for a vacant position in Chicago, and it was clear that he was pushing for this candidate. This candidate eventually was selected.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.527
Very Positive
Moderation
Harassment
0.027389318
OpenAI Moderation v1 (007)
Violence
0.0096882875
OpenAI Moderation v1 (007)
Violence > Graphic
0.0090273592
OpenAI Moderation v1 (007)
Hate
0.0020993044
OpenAI Moderation v1 (007)
Sexual
0.0015848125
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012430116
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001027019
OpenAI Moderation v1 (007)
Self-Harm
6.24346E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.49621E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.30638E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.5762E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.313
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
90.359
Magnitude:
85
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Election
Score:
75
Magnitude:
0.236
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
57
Gunning-Fog Score
12.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.5
Dale-Chall Readability Score
6.3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
15
Patrick Leahy
The two reports you have issues so far conclude that a broad set of high-level Department officials were involved in illegal political and loyalty screening for hires, including the former Acting Associate Attorney General, former Chief of Staff to the Attorney General, the former White House Liaison, and senior counsel to the Attorney General, two other former White House Liaisons, the former counsel to the Associate Attorney General, the former Chief of Staff of the Deputy Attorney General, and the current Deputy Director of the Executive Office of U.S. Attorneys.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.57143
Very Positive
Harvard-IV (Absolute)
0.57143
Very Positive
Harvard-IV (Logit)
1.18958
VADER
-0.026
Neutral
Moderation
Harassment
0.0932355295
OpenAI Moderation v1 (007)
Violence
0.0080952508
OpenAI Moderation v1 (007)
Sexual
0.0066027715
OpenAI Moderation v1 (007)
Hate
0.0051012179
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029258279
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002245182
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001040923
OpenAI Moderation v1 (007)
Self-Harm
9.41728E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.6325E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.7568E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.5682E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
23.923
Magnitude:
39
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
21.2
Gunning-Fog Score
15.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
37
Sprache Difficult Word Count
29
Patrick Leahy
Now, these officials, include a number of key officials at the Department, including Chiefs of Staff to the Attorney General and the number two official at the Department. In fact, the complaints that were raised were ignored. At an oversight hearing last month, Attorney General Mukasey characterized the firings in your first report in this way. He said, "I found that the IG report reflected that a few people currently employed by the Department, one of whom is longer in the job that he was in, had failed to respond with sufficient alacrity to the charges" -- I do not want to interrupt the conversation next to me here -- "failed to respond with sufficient alacrity to charge as politicization." That is very different from saying they found a politicized Department.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.56495
Harvard-IV (Relative)
-0.46667
Negative
Harvard-IV (Absolute)
-0.46667
Negative
Harvard-IV (Logit)
-0.93827
VADER
-0.895
Very Negative
Moderation
Harassment
0.04474007
OpenAI Moderation v1 (007)
Violence > Graphic
0.0342899788
OpenAI Moderation v1 (007)
Sexual
0.0215494423
OpenAI Moderation v1 (007)
Hate
0.0083120438
OpenAI Moderation v1 (007)
Violence
0.0036590656
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014719878
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012050894
OpenAI Moderation v1 (007)
Self-Harm
0.0001547664
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.41575E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1678E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.1202E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice) > Lawyer
Score:
100
Magnitude:
0.091
Code:
2002001
Url:
https://cv.iptc.org/newscodes/subjectcode/02002001
Wikidata_id:
Q1494322
Wikidata_label:
legal services
Source:
IPTC Subject
Topic:
Law and Crime
Score:
95.712
Magnitude:
91
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Labor > Employee
Score:
93
Magnitude:
0.084
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Trials
Score:
89
Magnitude:
0.081
Code:
2008000
Url:
https://cv.iptc.org/newscodes/subjectcode/02008000
Wikidata_id:
Q8016240
Wikidata_label:
trial
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
89
Magnitude:
0.081
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.2
Gunning-Fog Score
15.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
36
Sprache Difficult Word Count
32
Patrick Leahy
I wonder if you agree with his characterization of the conclusion in your report. Was this a problem in that there were just a few bad apples who failed to respond with sufficient alacrity or a more serious and systemic problem?
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.821
Very Negative
Moderation
Sexual
0.0501437346
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020147054
OpenAI Moderation v1 (007)
Violence
0.0020100209
OpenAI Moderation v1 (007)
Harassment
0.0017412522
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011843591
OpenAI Moderation v1 (007)
Self-Harm
0.0005938557
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003038239
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002474769
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001781683
OpenAI Moderation v1 (007)
Hate
0.0001409404
OpenAI Moderation v1 (007)
Hate > Threatening
1.8077E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.434
Magnitude:
131
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
54
Gunning-Fog Score
14.1
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
4.9
Sprache Readability Score
4
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Glenn Fine
I think this is a serious problem that had implications throughout the Department of Justice. The ones who committed the wrongdoing, we identify in the reports, both in our Honors Program report as well as in our report on Monica Goodling and others. It had a significant effect throughout the Department. I think one of the significant things was people not objecting, people not standing up. Senator Specter alluded to this. A few did but most did not, and I think that was one of the significant problems that we found in the report.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.95551
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.468
Positive
Moderation
Harassment
0.0571707904
OpenAI Moderation v1 (007)
Violence
0.0156941329
OpenAI Moderation v1 (007)
Violence > Graphic
0.0156512295
OpenAI Moderation v1 (007)
Sexual
0.0036654568
OpenAI Moderation v1 (007)
Hate
0.0025602501
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003447447
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002795151
OpenAI Moderation v1 (007)
Hate > Threatening
0.000143332
OpenAI Moderation v1 (007)
Self-Harm
4.77579E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.08632E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6429E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.137
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
81.67
Magnitude:
41
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Parliament
Score:
52
Magnitude:
0.072
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
61.3
Gunning-Fog Score
10.5
Coleman-Liau Index
11.3
SMOG Index
11.7
Automated Readability Index
8.1
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
20
Glenn Fine
Another significant problem that I think is important to note is the lack of oversight of these people. These were inexperienced, junior people to some extent; they rose to high- level positions, and they were allowed to implement these actions and changes unchecked without adequate supervision, without adequate oversight, and it resulted in very serious damage to the Department of Justice. So I think it is a systemic, important issue that needs to be addressed.
Sentiment
Loughran McDonald (Relative)
-0.25
Slightly Negative
Loughran McDonald (Absolute)
-0.25
Slightly Negative
Loughran McDonald (Logit)
-0.45199
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
-0.416
Negative
Moderation
Sexual
0.0247899676
OpenAI Moderation v1 (007)
Violence
0.0069029222
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034334142
OpenAI Moderation v1 (007)
Harassment
0.0032506043
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012480183
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004710747
OpenAI Moderation v1 (007)
Self-Harm
0.0001726193
OpenAI Moderation v1 (007)
Hate
6.56001E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.47947E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.55877E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.55487E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.083
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.862
Magnitude:
94
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
86
Magnitude:
0.072
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
64
Magnitude:
0.053
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
23
Patrick Leahy
The fact that they rose to these high positions, I mean, these were positions where normally you have a great deal of experience and institutional knowledge before you are put in these positions. Is that correct?
Sentiment
Loughran McDonald (Relative)
0.6
Very Positive
Loughran McDonald (Absolute)
0.6
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.83321
VADER
0.625
Very Positive
Moderation
Harassment
0.6276638247
OpenAI Moderation v1 (007)
Violence
0.0543941278
OpenAI Moderation v1 (007)
Sexual
0.0416604889
OpenAI Moderation v1 (007)
Hate
0.0256714527
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0148236242
OpenAI Moderation v1 (007)
Violence > Graphic
0.0140347824
OpenAI Moderation v1 (007)
Sexual > Minors
0.0042937125
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008170538
OpenAI Moderation v1 (007)
Self-Harm
0.000200717
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.65987E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.83923E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.895
Magnitude:
75
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.8
Flesch-Kincaid Ease
64
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
4
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Glenn Fine
Sometimes they do, but I think in this case there were a significant number of ones who did not have experience for the job that they were put in. I will give you an example.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.392
Somewhat Positive
Moderation
Violence
0.0215339984
OpenAI Moderation v1 (007)
Harassment
0.020015768
OpenAI Moderation v1 (007)
Violence > Graphic
0.00851773
OpenAI Moderation v1 (007)
Sexual
0.0063653832
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018681314
OpenAI Moderation v1 (007)
Hate
0.0014875035
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001373174
OpenAI Moderation v1 (007)
Self-Harm
6.17462E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.2699E-6
OpenAI Moderation v1 (007)
Hate > Threatening
8.551E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.928E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest
Score:
100
Magnitude:
0.089
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Social Issue
Score:
98
Magnitude:
0.087
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Labor > Employment > Occupations
Score:
93
Magnitude:
0.083
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
83
Magnitude:
0.074
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Politics
Score:
78
Magnitude:
0.07
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
62
Magnitude:
0.055
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Periodicals
Score:
62
Magnitude:
0.055
Code:
1026001
Url:
https://cv.iptc.org/newscodes/subjectcode/01026001
Wikidata_id:
Q1002697
Wikidata_label:
periodical
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
61
Magnitude:
0.054
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
60
Magnitude:
0.054
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Science and Technology > Science (General)
Score:
57
Magnitude:
0.051
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
80.3
Gunning-Fog Score
10.4
Coleman-Liau Index
7.2
SMOG Index
11.3
Automated Readability Index
5.8
Dale-Chall Readability Score
2.2
Sprache Readability Score
3
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Glenn Fine
In the Honors Program, a very important program in the Department of Justice, and the screening of candidates for that is very important, many of the people who apply for this Honors Program remain with the Department for much of their career. It is a career position. It is the backbone of the Department of Justice. So they set up a Screening Committee, and in 2006, they assigned Esther Slater McDonald to be on the Screening Committee. And she had been in the Department for less than a month. She was a junior attorney. She was not even given instructions on what to look for or overseen in her actions. I think that is negligent. I think that is not appropriate, and that on these important programs, there needs to be better oversight and supervision. It did not happen.
Sentiment
Loughran McDonald (Relative)
0.6
Very Positive
Loughran McDonald (Absolute)
0.6
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.53846
Very Positive
Harvard-IV (Absolute)
0.53846
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.951
Very Positive
Moderation
Harassment
0.0377910706
OpenAI Moderation v1 (007)
Violence
0.0059016656
OpenAI Moderation v1 (007)
Hate
0.0029187549
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007075768
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004659388
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002599779
OpenAI Moderation v1 (007)
Sexual
0.0001606781
OpenAI Moderation v1 (007)
Sexual > Minors
5.38874E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.5661E-6
OpenAI Moderation v1 (007)
Self-Harm
7.3202E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.711E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.14
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Labor
Score:
89.537
Magnitude:
35
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
66
Magnitude:
0.093
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.7
Flesch-Kincaid Ease
64.9
Gunning-Fog Score
9.6
Coleman-Liau Index
10.4
SMOG Index
11.5
Automated Readability Index
6.5
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
28
Patrick Leahy
That is interesting, because I know when I was recruited by the then-Attorney General when I was a law student, he made it very, very clear that politics would not be allowed in these professional positions and that the White House could not interfere with them, could not interfere with the prosecutors, could not interfere with these decisions, and that was Attorney General Robert Kennedy, who, if there was anybody who might have close ties to the White House, he would.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.704
Very Positive
Moderation
Violence > Graphic
0.0207122765
OpenAI Moderation v1 (007)
Sexual
0.0055967008
OpenAI Moderation v1 (007)
Violence
0.0054152704
OpenAI Moderation v1 (007)
Harassment
0.0053671651
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006000278
OpenAI Moderation v1 (007)
Hate
0.0004539502
OpenAI Moderation v1 (007)
Sexual > Minors
0.000167202
OpenAI Moderation v1 (007)
Self-Harm
0.0001196462
OpenAI Moderation v1 (007)
Hate > Threatening
1.20197E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.8077E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.7523E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.12
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.892
Magnitude:
138
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Construction and Property
Score:
74
Magnitude:
0.088
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
69
Magnitude:
0.082
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
11.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18
Patrick Leahy
Your report documents many examples of the use of code words by Ms. Goodling and others as a stand-in for political loyalty or ideology to eliminate candidates. Ruth Marcus noted in the Washington Post this morning the term "good American" was understood to be a stand-in for "Republican." It was used, for example, by the then-interim U.S. Attorney Brad Schlozman to persuade Ms. Goodling to approve his choices for career prosecutor positions. Perhaps the most egregious example, it was used by Ms. Goodling and others in Internet searches designed to obtain political and ideological affiliations. Here is one example of a Lexis-Nexis search used by Jane Williams, Ms. Goodling's predecessor as liaison to the Bush White House.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.875
Very Positive
Harvard-IV (Absolute)
0.875
Very Positive
Harvard-IV (Logit)
2.33537
VADER
0.751
Very Positive
Moderation
Violence
0.0097119293
OpenAI Moderation v1 (007)
Harassment
0.0086363078
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039873801
OpenAI Moderation v1 (007)
Sexual
0.0038569669
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011704137
OpenAI Moderation v1 (007)
Hate
0.0008531875
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006461016
OpenAI Moderation v1 (007)
Self-Harm
9.70515E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.35104E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.3874E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.21E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.086
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Law and Crime
Score:
89.306
Magnitude:
81
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
46.5
Gunning-Fog Score
11.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
6.9
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
48
Sprache Difficult Word Count
45
Note
[Indicates chart showing search terms.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0134782982
OpenAI Moderation v1 (007)
Hate
0.0047543032
OpenAI Moderation v1 (007)
Violence
0.004133063
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018713266
OpenAI Moderation v1 (007)
Sexual
0.0015783495
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002218547
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001788317
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001041399
OpenAI Moderation v1 (007)
Self-Harm
8.57E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.75E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.6E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
50.981
Magnitude:
118
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
20.732
Magnitude:
118
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count
Patrick Leahy
In a Department position like that, they would be looking for this person to have experience. If they are going to be a prosecutor, have they had experience in trying cases and making decisions? Do they have a law enforcement background? This seems to be anything but, or am I reading too much into this.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.276
Slightly Positive
Moderation
Harassment
0.048130253
OpenAI Moderation v1 (007)
Violence
0.0123111109
OpenAI Moderation v1 (007)
Sexual
0.0088453351
OpenAI Moderation v1 (007)
Hate
0.0040133327
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018699193
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007558873
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002752197
OpenAI Moderation v1 (007)
Self-Harm
8.28141E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.98142E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.28015E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.4798E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.145
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
71.4
Gunning-Fog Score
10.6
Coleman-Liau Index
10.2
SMOG Index
11.3
Automated Readability Index
6.3
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
14
Glenn Fine
No, I do not think you are reading too much into it. The problem was screening for political considerations is not improper for political jobs. It is improper when it is used for career jobs, and that is when it was used here. And they did use code words, and you gave the example of Bradley Schlozman. He did talk about trying to get approval to hire AUSAs when he was the interim U.S. Attorney in Missouri, called them "rock solid Americans," "hugely positive legacy for this administration." He described the candidates in terms of their conservative credentials and involvement in the Bush- Cheney campaign, "hard core" in the most positive sense of the word. And Goodling gave him permission to hire "one more good American." That has nothing to do with your qualifications to be an Assistant United States Attorney.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.86904
VADER
0.92
Very Positive
Moderation
Harassment
0.0429458101
OpenAI Moderation v1 (007)
Sexual
0.0165262303
OpenAI Moderation v1 (007)
Sexual > Minors
0.0067234432
OpenAI Moderation v1 (007)
Hate
0.0041487321
OpenAI Moderation v1 (007)
Violence
0.0040012717
OpenAI Moderation v1 (007)
Violence > Graphic
0.00190174
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008477074
OpenAI Moderation v1 (007)
Hate > Threatening
1.32815E-5
OpenAI Moderation v1 (007)
Self-Harm
9.8642E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.3666E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.2727E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.159
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.444
Magnitude:
55
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Music > Rock and Roll Music
Score:
63
Magnitude:
0.1
Code:
1011006
Url:
https://cv.iptc.org/newscodes/subjectcode/01011006
Wikidata_id:
Q11399
Wikidata_label:
rock music
Source:
IPTC Subject
Topic:
Politics > Election
Score:
57
Magnitude:
0.091
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
59.6
Gunning-Fog Score
11
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
7.4
Dale-Chall Readability Score
5.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
41
Sprache Difficult Word Count
42
Glenn Fine
Another example, there was an official who wanted to apply for a detail in the Office of Legal Policy. She was asked and was told that the Office of Legal Policy provides advice to the Attorney General, and he expected to receive advice consistent with his policies and beliefs. This candidate scratched his head and said, "That is not my understanding." He said it to himself. "My understanding is that it should be consistent with the law." And that is the troubling aspect of this. That is what should be considered: their qualifications, their academic qualifications, their background for career positions. And we found instances where -- many instances where it was not. It is very troubling and very damaging.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.57143
Very Positive
Harvard-IV (Absolute)
0.57143
Very Positive
Harvard-IV (Logit)
1.18958
VADER
-0.87
Very Negative
Moderation
Harassment
0.0312303921
OpenAI Moderation v1 (007)
Sexual
0.0202766823
OpenAI Moderation v1 (007)
Violence > Graphic
0.0142361387
OpenAI Moderation v1 (007)
Sexual > Minors
0.0047577632
OpenAI Moderation v1 (007)
Violence
0.0035748213
OpenAI Moderation v1 (007)
Hate
0.0021108213
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014413316
OpenAI Moderation v1 (007)
Self-Harm
0.0011983792
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.81118E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.89707E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.3462E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.092
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
71
Magnitude:
0.065
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Religion and Belief
Score:
66
Magnitude:
0.061
Code:
12000000
Url:
https://cv.iptc.org/newscodes/subjectcode/12000000
Wikidata_id:
Q9174
Wikidata_label:
religion
Source:
IPTC Subject
Topic:
Religion and Belief > Belief (Faith)
Score:
63
Magnitude:
0.058
Code:
12002000
Url:
https://cv.iptc.org/newscodes/subjectcode/12002000
Wikidata_id:
Q2728698
Wikidata_label:
religious belief
Source:
IPTC Subject
Topic:
Law and Crime
Score:
28.752
Magnitude:
142
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Defense
Score:
21.514
Magnitude:
142
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
56.9
Gunning-Fog Score
11
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
35
Sprache Difficult Word Count
31
Patrick Leahy
Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.0550504832
OpenAI Moderation v1 (007)
Harassment
0.0380800804
OpenAI Moderation v1 (007)
Violence > Graphic
0.0293540128
OpenAI Moderation v1 (007)
Hate
0.0086400643
OpenAI Moderation v1 (007)
Sexual
0.0077599434
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0076251468
OpenAI Moderation v1 (007)
Sexual > Minors
0.0026052214
OpenAI Moderation v1 (007)
Hate > Threatening
0.0016383907
OpenAI Moderation v1 (007)
Self-Harm
9.52755E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.94493E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.66714E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
92.709
Magnitude:
120
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Patrick Leahy
Senator Specter?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.0298952917
OpenAI Moderation v1 (007)
Hate
0.004118411
OpenAI Moderation v1 (007)
Violence
0.0025310772
OpenAI Moderation v1 (007)
Harassment
0.0016469015
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013575082
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004403069
OpenAI Moderation v1 (007)
Sexual > Minors
0.000402428
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002395132
OpenAI Moderation v1 (007)
Self-Harm
0.0002360438
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.49791E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.18031E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Arlen Specter
Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.1554741524
OpenAI Moderation v1 (007)
Hate
0.0257289386
OpenAI Moderation v1 (007)
Violence
0.0104915693
OpenAI Moderation v1 (007)
Sexual
0.0082417508
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0074171665
OpenAI Moderation v1 (007)
Sexual > Minors
0.0033848984
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023738765
OpenAI Moderation v1 (007)
Hate > Threatening
8.7539E-5
OpenAI Moderation v1 (007)
Self-Harm
7.50502E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.28651E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.1883E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Arlen Specter
Mr. Fine, did the conduct of Monica Goodling or Kyle Sampson or John Nowacki in politicizing the appointments of people like immigration judges or members of the Board of Immigration Appeals, did that constitute a violation of criminal law?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.511
Very Negative
Moderation
Harassment
0.0488170219
OpenAI Moderation v1 (007)
Violence
0.0277516374
OpenAI Moderation v1 (007)
Harassment > Threatening
0.018577688
OpenAI Moderation v1 (007)
Violence > Graphic
0.015632913
OpenAI Moderation v1 (007)
Sexual
0.014501081
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021970309
OpenAI Moderation v1 (007)
Hate
0.0010115385
OpenAI Moderation v1 (007)
Self-Harm
7.96649E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.7888E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.98362E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.3649E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.149
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime
Score:
87
Magnitude:
0.13
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.4
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.4
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18
Glenn Fine
I do not believe it did, Senator Specter. I believe it violated Department policy and Federal civil service law, which is civil law, but not criminal law. It is not a criminal statute.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
0.229
Slightly Positive
Moderation
Violence > Graphic
0.0171810214
OpenAI Moderation v1 (007)
Harassment
0.0151232452
OpenAI Moderation v1 (007)
Violence
0.0095359421
OpenAI Moderation v1 (007)
Hate
0.0026828931
OpenAI Moderation v1 (007)
Sexual
0.0018558825
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004566789
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001880264
OpenAI Moderation v1 (007)
Self-Harm
8.00375E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.5305E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.7925E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.999E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.43
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Immigration
Score:
73.555
Magnitude:
39
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Crime
Score:
72
Magnitude:
0.309
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
60
Magnitude:
0.259
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
9.2
Coleman-Liau Index
10.2
SMOG Index
12
Automated Readability Index
4.9
Dale-Chall Readability Score
5.8
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
11
Arlen Specter
Was there anything in your investigation to suggest that there is a basis for criminal prosecutions for making false officials statements?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.527
Very Negative
Moderation
Violence > Graphic
0.0557945459
OpenAI Moderation v1 (007)
Violence
0.0310182018
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0187348312
OpenAI Moderation v1 (007)
Harassment
0.0159417745
OpenAI Moderation v1 (007)
Sexual
0.0101614045
OpenAI Moderation v1 (007)
Hate
0.0014609213
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003053885
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002608095
OpenAI Moderation v1 (007)
Self-Harm
0.0001039514
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.05709E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.0229E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.137
Magnitude:
33
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.4
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.3
Sprache Readability Score
4
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10
Glenn Fine
We looked at that carefully, and in our judgment and the judgment of prosecutors, experienced prosecutors who have worked on this case for us, we did not think that there was a sufficient basis for a criminal prosecution for false statements for anyone. We also noted we do not think that Monica Goodling made false statements to Congress. But we also know that she has immunity and sort of use of any testimony or the fruits of any testimony would be prohibited.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.09091
Neutral
Harvard-IV (Absolute)
0.09091
Neutral
Harvard-IV (Logit)
0.16705
VADER
-0.727
Very Negative
Moderation
Harassment
0.090955419
OpenAI Moderation v1 (007)
Hate
0.0302355329
OpenAI Moderation v1 (007)
Hate > Threatening
0.0112093672
OpenAI Moderation v1 (007)
Sexual
0.0071109469
OpenAI Moderation v1 (007)
Violence
0.0051373092
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009680934
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008666736
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003225167
OpenAI Moderation v1 (007)
Self-Harm
3.17E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0784E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7091E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.232
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.931
Magnitude:
21
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47
Gunning-Fog Score
16.3
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
20
Glenn Fine
But having said that, I will say that we do not believe that the conduct that we found in our report constituted a criminal violation. It was a violation of civil law and Department policy.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.869
Very Negative
Moderation
Harassment
0.1648019999
OpenAI Moderation v1 (007)
Hate
0.0118177544
OpenAI Moderation v1 (007)
Violence > Graphic
0.008254635
OpenAI Moderation v1 (007)
Violence
0.0041991996
OpenAI Moderation v1 (007)
Sexual
0.0030557167
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000588567
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002885194
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001529311
OpenAI Moderation v1 (007)
Self-Harm
6.98507E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.11351E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.971E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Crime > Sexual Assault
Score:
100
Magnitude:
0.309
Code:
2001005
Url:
https://cv.iptc.org/newscodes/subjectcode/02001005
Wikidata_id:
Q673281
Wikidata_label:
sexual assault
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.775
Magnitude:
82
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
95
Magnitude:
0.295
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime
Score:
91
Magnitude:
0.281
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
56.1
Gunning-Fog Score
12.7
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
7.8
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
Arlen Specter
Was former Attorney General Gonzales questioned on this matter?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
-0.103
Leans Negative
Moderation
Harassment
0.1611739397
OpenAI Moderation v1 (007)
Violence
0.03507043
OpenAI Moderation v1 (007)
Hate
0.0309602619
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0184766774
OpenAI Moderation v1 (007)
Sexual
0.0021907479
OpenAI Moderation v1 (007)
Violence > Graphic
0.001913605
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015265017
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003157832
OpenAI Moderation v1 (007)
Self-Harm
7.3591E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4141E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.869E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.934
Magnitude:
35
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
37.9
Gunning-Fog Score
3.6
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
11.3
Dale-Chall Readability Score
7.5
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5
Glenn Fine
Yes, he was.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Violence
0.0025288622
OpenAI Moderation v1 (007)
Sexual
0.0014546948
OpenAI Moderation v1 (007)
Harassment
0.0011489841
OpenAI Moderation v1 (007)
Hate
0.0006936079
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005276231
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001211524
OpenAI Moderation v1 (007)
Self-Harm
2.2655E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.573E-6
OpenAI Moderation v1 (007)
Hate > Threatening
7.0665E-6
OpenAI Moderation v1 (007)
Sexual > Minors
5.228E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.6862E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
88.109
Magnitude:
9
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
0
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Arlen Specter
And what did he say?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0149780259
OpenAI Moderation v1 (007)
Sexual
0.0093571114
OpenAI Moderation v1 (007)
Sexual > Minors
0.0043172597
OpenAI Moderation v1 (007)
Hate
0.0025853227
OpenAI Moderation v1 (007)
Harassment
0.0016982021
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012820737
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004044406
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002618013
OpenAI Moderation v1 (007)
Self-Harm
2.00628E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.5924E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.4151E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
1.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Glenn Fine
He said he was not aware of what was going on. He said he did not know Goodling used political factors when assessing candidates for career positions, did not know the search terms that Goodling used, did not know even that Goodling's portfolio included hiring for IJs, and basically said he did not have knowledge of the role the Office of the Attorney General played in identifying candidates and was not involved in the selection of these immigration judges. He said the first time he became aware of problems or complaints in the Honors Program was in April 2007 when there was an anonymous letter provided to Congress in public, and when he heard about that, he told the Deputy Attorney General to fix it. That was what he said.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.72727
Very Positive
Harvard-IV (Absolute)
0.72727
Very Positive
Harvard-IV (Logit)
1.71765
VADER
0.25
Slightly Positive
Moderation
Violence > Graphic
0.0325090077
OpenAI Moderation v1 (007)
Harassment
0.0245231495
OpenAI Moderation v1 (007)
Sexual
0.0040254185
OpenAI Moderation v1 (007)
Violence
0.0039335006
OpenAI Moderation v1 (007)
Hate
0.0033546206
OpenAI Moderation v1 (007)
Self-Harm
0.0008158274
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002942969
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001512884
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.32058E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.39827E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.2016E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.127
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Election
Score:
65
Magnitude:
0.083
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Politics > Election > Political Candidates
Score:
58
Magnitude:
0.074
Code:
11003001
Url:
https://cv.iptc.org/newscodes/subjectcode/11003001
Wikidata_id:
Q19772737
Wikidata_label:
political candidate
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.3
Gunning-Fog Score
17
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
39
Arlen Specter
Were Goodling, Sampson, and Nowacki questioned as to former Attorney General Gonzales' participation in an of these matters?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
-0.077
Neutral
Moderation
Harassment
0.0899919251
OpenAI Moderation v1 (007)
Violence > Graphic
0.0107773376
OpenAI Moderation v1 (007)
Violence
0.0068805901
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0045438323
OpenAI Moderation v1 (007)
Hate
0.0025391979
OpenAI Moderation v1 (007)
Sexual
0.0014135148
OpenAI Moderation v1 (007)
Self-Harm
7.85238E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.82091E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.99645E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.86591E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4178E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
70.369
Magnitude:
129
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.8
Gunning-Fog Score
9.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Glenn Fine
Yes.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Violence > Graphic
0.0070832255
OpenAI Moderation v1 (007)
Violence
0.0036478745
OpenAI Moderation v1 (007)
Harassment
0.0032527314
OpenAI Moderation v1 (007)
Sexual
0.0024213678
OpenAI Moderation v1 (007)
Hate
0.0012923656
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003261855
OpenAI Moderation v1 (007)
Self-Harm
0.000197821
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001743968
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001384882
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001019956
OpenAI Moderation v1 (007)
Hate > Threatening
3.66172E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
42.476
Magnitude:
18
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
33.624
Magnitude:
18
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
1.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Arlen Specter
Attorney General Gonzales denied -- I see you turning back. Do you have a modification to that answer?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.44
Negative
Moderation
Hate
0.0142777921
OpenAI Moderation v1 (007)
Violence > Graphic
0.0139839001
OpenAI Moderation v1 (007)
Violence
0.0093083421
OpenAI Moderation v1 (007)
Sexual
0.0082717961
OpenAI Moderation v1 (007)
Harassment
0.0071217502
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012683172
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001456627
OpenAI Moderation v1 (007)
Hate > Threatening
6.48751E-5
OpenAI Moderation v1 (007)
Self-Harm
6.43388E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.24074E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.5282E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
53.9
Gunning-Fog Score
5.8
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.3
Dale-Chall Readability Score
5.1
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Glenn Fine
Yes. Goodling was not questioned by us. She refused to be interviewed by us. She was questioned by the House Judiciary Committee.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.94591
VADER
0.056
Neutral
Moderation
Harassment
0.0370125927
OpenAI Moderation v1 (007)
Violence
0.0366561755
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0071875198
OpenAI Moderation v1 (007)
Violence > Graphic
0.0061283259
OpenAI Moderation v1 (007)
Sexual > Minors
0.0050993694
OpenAI Moderation v1 (007)
Sexual
0.0047612764
OpenAI Moderation v1 (007)
Hate
0.0019865774
OpenAI Moderation v1 (007)
Self-Harm
0.0014061683
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009415813
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007974117
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003393533
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
68.664
Magnitude:
18
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
5.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
3.6
Dale-Chall Readability Score
6.7
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
6
Arlen Specter
During the Judiciary Committee hearings on the U.S. Analyst issue on replacement, Attorney General Gonzales at that time denied knowing anything about that, and his testimony was contradicted by a number of people. But you are saying that did not happen here.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
-0.599
Very Negative
Moderation
Harassment
0.0378139754
OpenAI Moderation v1 (007)
Violence
0.0343712105
OpenAI Moderation v1 (007)
Hate
0.0109738241
OpenAI Moderation v1 (007)
Violence > Graphic
0.0102296537
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0053010433
OpenAI Moderation v1 (007)
Sexual
0.0041807594
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002443082
OpenAI Moderation v1 (007)
Self-Harm
0.0001344494
OpenAI Moderation v1 (007)
Sexual > Minors
2.03007E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.79059E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.217E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
100
Magnitude:
0.088
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Topic:
Law and Crime
Score:
69.138
Magnitude:
22
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
46.4
Gunning-Fog Score
9
Coleman-Liau Index
12
SMOG Index
11.8
Automated Readability Index
7.2
Dale-Chall Readability Score
4.9
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
Glenn Fine
Exactly, saying it did not happen here. We are looking at the removal of U.S. Attorneys, as I mentioned in my statement. We are looking at that very carefully and will view all the issues in that one.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.194
Leans Positive
Moderation
Harassment
0.0997975934
OpenAI Moderation v1 (007)
Violence
0.0655479496
OpenAI Moderation v1 (007)
Hate
0.030340525
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0232158534
OpenAI Moderation v1 (007)
Violence > Graphic
0.0049974686
OpenAI Moderation v1 (007)
Sexual
0.0028175817
OpenAI Moderation v1 (007)
Self-Harm
0.0023248323
OpenAI Moderation v1 (007)
Sexual > Minors
0.001778737
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001992733
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001051064
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.82349E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
95.814
Magnitude:
43
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.1
Flesch-Kincaid Ease
79.6
Gunning-Fog Score
6.2
Coleman-Liau Index
7.7
SMOG Index
8.4
Automated Readability Index
1.3
Dale-Chall Readability Score
4.4
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Arlen Specter
And what White House officials, if any, were questioned on this issue of politicization of appointments?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.103
Leans Negative
Moderation
Violence
0.0907712674
OpenAI Moderation v1 (007)
Harassment
0.0667760149
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0275672792
OpenAI Moderation v1 (007)
Hate
0.0078689838
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019936813
OpenAI Moderation v1 (007)
Sexual
0.0007082613
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002754529
OpenAI Moderation v1 (007)
Self-Harm
4.80821E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.43997E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.28857E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.14902E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Board of Directors (Appointment and Change)
Score:
100
Magnitude:
0.102
Code:
4016008
Url:
https://cv.iptc.org/newscodes/subjectcode/04016008
Wikidata_id:
Q188628
Wikidata_label:
board of directors
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.425
Magnitude:
39
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Construction and Property
Score:
66
Magnitude:
0.068
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.9
Dale-Chall Readability Score
5.7
Sprache Readability Score
3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Glenn Fine
Scott Jennings, who was in the Office of Political Affairs at the White House and who had the contact with Monica Goodling and her predecessors who were the White House Liaisons with the Department of Justice and provided candidates to the Department for these positions, particularly for immigration judges.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.527
Very Positive
Moderation
Harassment
0.0039618448
OpenAI Moderation v1 (007)
Violence
0.0031001295
OpenAI Moderation v1 (007)
Hate
0.0005845557
OpenAI Moderation v1 (007)
Sexual
0.0001870297
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001841558
OpenAI Moderation v1 (007)
Violence > Graphic
6.76974E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.84822E-5
OpenAI Moderation v1 (007)
Self-Harm
1.29972E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.00981E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.0774E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.226E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.133
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Government Operations
Score:
51.298
Magnitude:
16
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
22.048
Magnitude:
16
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
12.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18
Arlen Specter
And why were no others at the White House questioned?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.382
Somewhat Negative
Moderation
Violence
0.0210760219
OpenAI Moderation v1 (007)
Harassment
0.0113692797
OpenAI Moderation v1 (007)
Hate
0.0088090383
OpenAI Moderation v1 (007)
Violence > Graphic
0.0035515655
OpenAI Moderation v1 (007)
Sexual
0.0024761674
OpenAI Moderation v1 (007)
Self-Harm
0.0020803414
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016686487
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005174975
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001012398
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.24302E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.5195E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.157
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media
Score:
51
Magnitude:
0.08
Code:
1026000
Url:
https://cv.iptc.org/newscodes/subjectcode/01026000
Wikidata_id:
Q11033
Wikidata_label:
mass media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
2.5
Flesch-Kincaid Ease
95.2
Gunning-Fog Score
4
Coleman-Liau Index
9.5
SMOG Index
3.3
Automated Readability Index
3.8
Dale-Chall Readability Score
2.1
Sprache Readability Score
2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Glenn Fine
From the evidence that we had, both e-mails, discussions, we did not see that the others were involved in this process. And we questioned the person who was involved.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.103
Leans Negative
Moderation
Harassment
0.0968719542
OpenAI Moderation v1 (007)
Violence
0.0151408327
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0146710241
OpenAI Moderation v1 (007)
Hate
0.0069136804
OpenAI Moderation v1 (007)
Sexual
0.0050459308
OpenAI Moderation v1 (007)
Sexual > Minors
0.0028083614
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003474025
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002687992
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.55502E-5
OpenAI Moderation v1 (007)
Self-Harm
6.4088E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.9328E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Internet
Score:
100
Magnitude:
0.313
Code:
1027000
Url:
https://cv.iptc.org/newscodes/subjectcode/01027000
Wikidata_id:
Q1153191
Wikidata_label:
online newspaper
Source:
IPTC Subject
Topic:
Government Operations
Score:
40.699
Magnitude:
10
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
76
Gunning-Fog Score
8.7
Coleman-Liau Index
10.1
SMOG Index
9
Automated Readability Index
6.8
Dale-Chall Readability Score
3.9
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
Arlen Specter
What steps have been taken by the Department of Justice, to your knowledge, at the present time to avoid a recurrence of this kind of a problem?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.453
Negative
Moderation
Violence
0.0173765351
OpenAI Moderation v1 (007)
Harassment
0.0128005748
OpenAI Moderation v1 (007)
Sexual
0.0067242065
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039870301
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0037461024
OpenAI Moderation v1 (007)
Hate
0.0016412276
OpenAI Moderation v1 (007)
Self-Harm
0.0005494197
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004938006
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.13025E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.43052E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.36512E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
73.645
Magnitude:
29
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
63.5
Gunning-Fog Score
12.3
Coleman-Liau Index
9.3
SMOG Index
11.3
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Glenn Fine
They have taken steps both when the issue arose back in April 2007 and also in response to our report to prevent a recurrence of this. For example, they have put back in the Executive Office for U.S. Attorneys the decisions on waiver applications by interim U.S. Attorneys who want to hire AUSAs. It is not the Office of the Attorney General who decides it anymore. It is EOUSA officials, and they only decide it based on financial considerations.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.103
Leans Positive
Moderation
Harassment
0.0994908623
OpenAI Moderation v1 (007)
Violence
0.0141961224
OpenAI Moderation v1 (007)
Sexual
0.0125641935
OpenAI Moderation v1 (007)
Hate
0.005525754
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035711721
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018730389
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015113486
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007829936
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0006882628
OpenAI Moderation v1 (007)
Self-Harm
0.0002941123
OpenAI Moderation v1 (007)
Hate > Threatening
3.72628E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.929
Magnitude:
27
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.4
Flesch-Kincaid Ease
59.7
Gunning-Fog Score
10
Coleman-Liau Index
10
SMOG Index
11.3
Automated Readability Index
4.3
Dale-Chall Readability Score
4.6
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
25
Glenn Fine
In addition, immigration judges are screened by a process that is in the Executive Office for Immigration Review by the officials there, the career officials there. They are rated. They are interviewed. And it is not within the political people in the Department anymore.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0008655643
OpenAI Moderation v1 (007)
Violence
0.0008395093
OpenAI Moderation v1 (007)
Sexual
0.0003706967
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001525841
OpenAI Moderation v1 (007)
Hate
0.0001478026
OpenAI Moderation v1 (007)
Self-Harm
8.88934E-5
OpenAI Moderation v1 (007)
Violence > Graphic
5.65998E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.19443E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
2.34517E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.36168E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.422E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.144
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.142
Magnitude:
80
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Migration
Score:
97
Magnitude:
0.14
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
47.6
Gunning-Fog Score
10.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.8
Dale-Chall Readability Score
5.9
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Glenn Fine
In response to the Honors Program, they have ensured that the Screening Committees are done by career officials. They are done at the Office of Attorney Resource Management. If there are any deselections, it is based upon academics. And if there is anything else, there has to be listed reasons why it happened.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.511
Very Positive
Moderation
Harassment
4.401884228
OpenAI Moderation v1 (007)
Hate
0.0550830795
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002026143
OpenAI Moderation v1 (007)
Violence
0.001839122
OpenAI Moderation v1 (007)
Sexual
0.0001396155
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001037296
OpenAI Moderation v1 (007)
Self-Harm
2.53608E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.28442E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.6097E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.5259E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.3566E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.148
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Immigration
Score:
92.893
Magnitude:
44
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
56.1
Gunning-Fog Score
9.1
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
7.6
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
19
Glenn Fine
In addition, the screening officials have to certify that they are only going to use merit-based principles, not political considerations, that they understand those principles and will use those principles. They have changed the Department of Justice human resources order to make that 100 percent clear, and they are considering training for officials involved --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.88235
Very Positive
Harvard-IV (Absolute)
0.88235
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.718
Very Positive
Moderation
Harassment
0.0125171864
OpenAI Moderation v1 (007)
Violence
0.0080016172
OpenAI Moderation v1 (007)
Sexual
0.003512279
OpenAI Moderation v1 (007)
Self-Harm
0.002767841
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0015600954
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004702497
OpenAI Moderation v1 (007)
Hate
0.0004391156
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002708929
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001843231
OpenAI Moderation v1 (007)
Sexual > Minors
6.34654E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.33234E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.155
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Civil Rights
Score:
74.509
Magnitude:
53
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
62
Magnitude:
0.095
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
52
Magnitude:
0.081
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
21
Arlen Specter
Mr. Fine, I do not have much time left, and I want to cover one other subject. Elaborate upon the activities and conduct of Mr. Peter Keisler with respect to this issue.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.637
Very Positive
Moderation
Harassment
0.117776182
OpenAI Moderation v1 (007)
Violence
0.0383811188
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0155563946
OpenAI Moderation v1 (007)
Violence > Graphic
0.0141539917
OpenAI Moderation v1 (007)
Sexual
0.0029676763
OpenAI Moderation v1 (007)
Hate
0.0005288225
OpenAI Moderation v1 (007)
Self-Harm
0.0004827617
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001107659
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.5492E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.04091E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.15705E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Punishment > Fine
Score:
100
Magnitude:
0.093
Code:
2004001
Url:
https://cv.iptc.org/newscodes/subjectcode/02004001
Wikidata_id:
Q1243001
Wikidata_label:
fine
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.007
Magnitude:
54
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
74.5
Gunning-Fog Score
5.7
Coleman-Liau Index
8.5
SMOG Index
7.3
Automated Readability Index
2
Dale-Chall Readability Score
4.8
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Glenn Fine
As you pointed out, we credited what he did in this case. He received complaints from people who worked for him in the Civil Division about deselections that were completely irrational. These were highly qualified candidates who were deselected. He went to the person involved with the Screening Committee, Mike Elston, and protested about that. He appealed it. In some cases, he was --
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.521
Very Negative
Moderation
Self-Harm > Intent
2.9781395569
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7100218683
OpenAI Moderation v1 (007)
Self-Harm
1.4066372067
OpenAI Moderation v1 (007)
Sexual > Minors
0.9470939636
OpenAI Moderation v1 (007)
Sexual
0.9110790677
OpenAI Moderation v1 (007)
Hate
0.6569254678
OpenAI Moderation v1 (007)
Harassment
0.2249141689
OpenAI Moderation v1 (007)
Hate > Threatening
0.144392089
OpenAI Moderation v1 (007)
Violence
0.1300290925
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0911958807
OpenAI Moderation v1 (007)
Violence > Graphic
0.0490104663
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.113
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Election
Score:
89
Magnitude:
0.101
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Trials > Litigation
Score:
59
Magnitude:
0.067
Code:
2008001
Url:
https://cv.iptc.org/newscodes/subjectcode/02008001
Wikidata_id:
Q697327
Wikidata_label:
lawsuit
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.4
Flesch-Kincaid Ease
60.5
Gunning-Fog Score
9.3
Coleman-Liau Index
12
SMOG Index
10.6
Automated Readability Index
7.1
Dale-Chall Readability Score
5.8
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
21
Arlen Specter
He appealed it to whom?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.0261078763
OpenAI Moderation v1 (007)
Violence
0.0073840187
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039179347
OpenAI Moderation v1 (007)
Sexual
0.0018993964
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001161207
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007179274
OpenAI Moderation v1 (007)
Hate
0.0004321025
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003495137
OpenAI Moderation v1 (007)
Self-Harm
0.0002122706
OpenAI Moderation v1 (007)
Hate > Threatening
5.84768E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.30408E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
42.831
Magnitude:
64
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Government Operations
Score:
28.531
Magnitude:
64
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0.5
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
5.3
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
3.4
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Glenn Fine
To Elston. He appealed the decision that was made to deselect a candidate for the Civil Division who was eminently qualified.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0
Neutral
Moderation
Harassment
0.0047344816
OpenAI Moderation v1 (007)
Violence
0.003909097
OpenAI Moderation v1 (007)
Violence > Graphic
0.0038796166
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035365221
OpenAI Moderation v1 (007)
Sexual
0.0018596207
OpenAI Moderation v1 (007)
Self-Harm
0.0002383892
OpenAI Moderation v1 (007)
Hate
0.0001289304
OpenAI Moderation v1 (007)
Sexual > Minors
4.47449E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.13573E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.90292E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0654E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.178
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
81
Magnitude:
0.144
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
47.1
Gunning-Fog Score
13.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
6.9
Dale-Chall Readability Score
7.3
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Arlen Specter
When you say he appealed it, whom did he appeal it to?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0
Neutral
Moderation
Sexual
0.0246401469
OpenAI Moderation v1 (007)
Violence
0.0069092181
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034851499
OpenAI Moderation v1 (007)
Harassment
0.0032251271
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012387185
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004689975
OpenAI Moderation v1 (007)
Self-Harm
0.0001715653
OpenAI Moderation v1 (007)
Hate
6.50333E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.44715E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.54045E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.52797E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Trials > Litigation
Score:
100
Magnitude:
0.193
Code:
2008001
Url:
https://cv.iptc.org/newscodes/subjectcode/02008001
Wikidata_id:
Q697327
Wikidata_label:
lawsuit
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
96
Gunning-Fog Score
4.8
Coleman-Liau Index
4.3
SMOG Index
3.3
Automated Readability Index
0.7
Dale-Chall Readability Score
3.2
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Glenn Fine
Michael Elston, who was the Chair of the Screening Committee. He appealed the deselection.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence > Graphic
0.0216733868
OpenAI Moderation v1 (007)
Violence
0.0080915685
OpenAI Moderation v1 (007)
Sexual
0.0013983933
OpenAI Moderation v1 (007)
Harassment
0.0010519495
OpenAI Moderation v1 (007)
Hate
0.0003375513
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002300662
OpenAI Moderation v1 (007)
Sexual > Minors
7.41113E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.37546E-5
OpenAI Moderation v1 (007)
Self-Harm
2.27734E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.0176E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.085E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
62.811
Magnitude:
12
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Government Operations
Score:
26.595
Magnitude:
12
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
60.7
Gunning-Fog Score
5.7
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
7
Dale-Chall Readability Score
7.1
Sprache Readability Score
2
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Arlen Specter
And what was the result of that effort by Mr. Keisler?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.008836179
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024669373
OpenAI Moderation v1 (007)
Violence
0.0016165859
OpenAI Moderation v1 (007)
Harassment
0.001128586
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001313968
OpenAI Moderation v1 (007)
Self-Harm
8.61125E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.64189E-5
OpenAI Moderation v1 (007)
Hate
2.06382E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.57273E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.4634E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.2908E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.05
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
1.6
Flesch-Kincaid Ease
93.6
Gunning-Fog Score
2.2
Coleman-Liau Index
6.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
6
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Glenn Fine
I think in that case the appeal was successful, and they were allowed to interview the candidate. He also discussed holding a meeting to discuss these issues, and he raised objections to it. I believe that what Peter Keisler did was appropriate and laudatory and that he should be praised. And I wish others had dome similar things. There were some who did it -- Eileen O'Connor from the Tax Division, career attorneys in the Tax Division and the Civil Division. But other did not, and I think that was part of the problem as well. Peter Keisler did and should be credited for that.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.26316
Slightly Positive
Harvard-IV (Absolute)
0.26316
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
0.891
Very Positive
Moderation
Harassment
3.7826344371
OpenAI Moderation v1 (007)
Violence > Graphic
0.0932150462
OpenAI Moderation v1 (007)
Hate
0.0782729127
OpenAI Moderation v1 (007)
Sexual
0.052478892
OpenAI Moderation v1 (007)
Violence
0.0300377433
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005337514
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001398317
OpenAI Moderation v1 (007)
Self-Harm
0.0001337916
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.56363E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.15574E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.3082E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.058
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
97
Magnitude:
0.056
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.7
Flesch-Kincaid Ease
66.5
Gunning-Fog Score
9.8
Coleman-Liau Index
10.5
SMOG Index
11.3
Automated Readability Index
7
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
27
Arlen Specter
Well, praise is fine, but how about promoted?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.788
Very Positive
Moderation
Harassment
0.4625167232
OpenAI Moderation v1 (007)
Violence > Graphic
0.038408098
OpenAI Moderation v1 (007)
Hate
0.032012671
OpenAI Moderation v1 (007)
Violence
0.017880807
OpenAI Moderation v1 (007)
Sexual
0.0078365374
OpenAI Moderation v1 (007)
Sexual > Minors
0.0024615581
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022325052
OpenAI Moderation v1 (007)
Hate > Threatening
7.22037E-5
OpenAI Moderation v1 (007)
Self-Harm
4.10612E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.1498E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.907E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Punishment > Fine
Score:
100
Magnitude:
0.184
Code:
2004001
Url:
https://cv.iptc.org/newscodes/subjectcode/02004001
Wikidata_id:
Q1243001
Wikidata_label:
fine
Source:
IPTC Subject
Topic:
Government Operations
Score:
40.3
Magnitude:
105
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.8
Flesch-Kincaid Ease
82.4
Gunning-Fog Score
8.2
Coleman-Liau Index
9.9
SMOG Index
9
Automated Readability Index
3.2
Dale-Chall Readability Score
2.4
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Glenn Fine
That is not my ability to promote. I try to provide the facts.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.3
Slightly Positive
Moderation
Harassment
8.024828136
OpenAI Moderation v1 (007)
Harassment > Threatening
0.2380481223
OpenAI Moderation v1 (007)
Hate
0.2009109361
OpenAI Moderation v1 (007)
Violence
0.056117936
OpenAI Moderation v1 (007)
Hate > Threatening
0.0015247979
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008905872
OpenAI Moderation v1 (007)
Sexual
0.0004403372
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.52019E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.81796E-5
OpenAI Moderation v1 (007)
Self-Harm
4.29897E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.1659E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
31.191
Magnitude:
8
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.3
Flesch-Kincaid Ease
83.1
Gunning-Fog Score
5.7
Coleman-Liau Index
5.9
SMOG Index
7.3
Automated Readability Index
0
Dale-Chall Readability Score
4
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Arlen Specter
You are not going to comment on his qualifications to be a circuit judge in the District of Columbia?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
1.2748331763
OpenAI Moderation v1 (007)
Hate
0.0330361479
OpenAI Moderation v1 (007)
Violence
0.0102293612
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064859523
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0064332795
OpenAI Moderation v1 (007)
Sexual
0.0026565045
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000602537
OpenAI Moderation v1 (007)
Self-Harm
0.0005370729
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003468897
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002093609
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001123245
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.135
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Sport > Motor Racing > Formula One
Score:
70
Magnitude:
0.095
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Topic:
Government Operations
Score:
54.647
Magnitude:
13
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
9.7
Coleman-Liau Index
9.6
SMOG Index
11.3
Automated Readability Index
8.4
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
7
Glenn Fine
No. I really do not think I should do that. I can comment that every dealing I have had with Peter Keisler has been professional. I have been tremendously impressed with him. I think he is a straight shooter.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.47
Positive
Moderation
Harassment
0.0976528507
OpenAI Moderation v1 (007)
Violence
0.0453652261
OpenAI Moderation v1 (007)
Hate
0.0193367261
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027555287
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021733391
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000577432
OpenAI Moderation v1 (007)
Sexual
0.0004286564
OpenAI Moderation v1 (007)
Self-Harm
0.000118197
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001018738
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.2715E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.5321E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.1
Flesch-Kincaid Ease
79.6
Gunning-Fog Score
7.2
Coleman-Liau Index
9.1
SMOG Index
8.4
Automated Readability Index
2.4
Dale-Chall Readability Score
3.6
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Arlen Specter
Well, Mr. Fine, that is close enough, as the expression goes, for Government work.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.44
Positive
Moderation
Harassment
0.0862346904
OpenAI Moderation v1 (007)
Hate
0.011492581
OpenAI Moderation v1 (007)
Violence
0.0092346956
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030324611
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023683726
OpenAI Moderation v1 (007)
Sexual
0.0017493012
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001450264
OpenAI Moderation v1 (007)
Hate > Threatening
8.29042E-5
OpenAI Moderation v1 (007)
Self-Harm
5.34222E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.71108E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.3048E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Punishment > Fine
Score:
100
Magnitude:
0.305
Code:
2004001
Url:
https://cv.iptc.org/newscodes/subjectcode/02004001
Wikidata_id:
Q1243001
Wikidata_label:
fine
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4
Flesch-Kincaid Ease
78.9
Gunning-Fog Score
5.7
Coleman-Liau Index
10.7
SMOG Index
9
Automated Readability Index
3.3
Dale-Chall Readability Score
2.6
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Note
[Laughter.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.2921903273
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0249865639
OpenAI Moderation v1 (007)
Violence
0.0051118579
OpenAI Moderation v1 (007)
Hate
0.0033819913
OpenAI Moderation v1 (007)
Sexual
0.0006840082
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003429166
OpenAI Moderation v1 (007)
Self-Harm
0.0001217294
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001117425
OpenAI Moderation v1 (007)
Hate > Threatening
2.80556E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.50229E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.0187E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
63.039
Magnitude:
14
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count
Glenn Fine
Those are the facts, and I try and bring them to you, Senator.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Harassment
30.6173980236
OpenAI Moderation v1 (007)
Hate
2.5845769793
OpenAI Moderation v1 (007)
Violence
0.2750049578
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0563784444
OpenAI Moderation v1 (007)
Violence > Graphic
0.03556296
OpenAI Moderation v1 (007)
Sexual
0.0251421123
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004521921
OpenAI Moderation v1 (007)
Self-Harm
0.0003321561
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003214858
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001480163
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001006267
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.207
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.1
Flesch-Kincaid Ease
96
Gunning-Fog Score
5.2
Coleman-Liau Index
5.5
SMOG Index
9
Automated Readability Index
2.1
Dale-Chall Readability Score
1.9
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Arlen Specter
Well, I appreciate that, and I appreciate your candor, Mr. Fine, and I have pursued that a little more so because I have interviewed him, I have talked to him, gone over his record with a fine-toothed comb, and hope yet that before the 110th Congress ends we can break the judicial impasse and confirm people like Peter Keisler and others. And I think your report, since you are noted for objectivity and very, very factual as to what he did here, is a strong recommendation inferentially of what is shown in the facts. That is the best kind of a recommendation. Thank you, Mr. Fine.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.22378
VADER
0.968
Very Positive
Moderation
Harassment
0.2511678496
OpenAI Moderation v1 (007)
Violence
0.0365636195
OpenAI Moderation v1 (007)
Sexual
0.0194513006
OpenAI Moderation v1 (007)
Violence > Graphic
0.0114450733
OpenAI Moderation v1 (007)
Hate
0.0094384188
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0087073247
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001089089
OpenAI Moderation v1 (007)
Self-Harm
9.61034E-5
OpenAI Moderation v1 (007)
Sexual > Minors
9.32606E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.66799E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.6173E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.153
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Punishment > Fine
Score:
65
Magnitude:
0.099
Code:
2004001
Url:
https://cv.iptc.org/newscodes/subjectcode/02004001
Wikidata_id:
Q1243001
Wikidata_label:
fine
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
66.2
Gunning-Fog Score
10.5
Coleman-Liau Index
9.3
SMOG Index
10.3
Automated Readability Index
7.6
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
24
Arlen Specter
Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.06926278
OpenAI Moderation v1 (007)
Harassment
0.0236450753
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0170142288
OpenAI Moderation v1 (007)
Sexual
0.0028383962
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024571324
OpenAI Moderation v1 (007)
Hate
0.0017323579
OpenAI Moderation v1 (007)
Self-Harm
0.0003995435
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002847091
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001542316
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001086218
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.2574E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
58.091
Magnitude:
106
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Government Operations
Score:
29.368
Magnitude:
106
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Ben Cardin
[Presiding.] Senator Leahy and I believe Senator Specter need to be on the floor because of legislation now of this Committee that is being considered on the floor. With that, I would recognize Senator Whitehouse.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
0
Neutral
Moderation
Harassment
0.1167219714
OpenAI Moderation v1 (007)
Violence > Graphic
0.0150688487
OpenAI Moderation v1 (007)
Sexual
0.0146653052
OpenAI Moderation v1 (007)
Violence
0.0114157876
OpenAI Moderation v1 (007)
Hate
0.0113502043
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0055341647
OpenAI Moderation v1 (007)
Self-Harm
0.0007041597
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004363966
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003454042
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000177158
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001084166
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.3
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
50.2
Gunning-Fog Score
10.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
5.5
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
9
Sheldon Whitehouse
Thank you, Chairman Cardin.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.1962018199
OpenAI Moderation v1 (007)
Violence
0.0511567458
OpenAI Moderation v1 (007)
Harassment
0.0426363287
OpenAI Moderation v1 (007)
Sexual > Minors
0.0216756394
OpenAI Moderation v1 (007)
Violence > Graphic
0.0209082747
OpenAI Moderation v1 (007)
Hate
0.0168222483
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00761228
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0044921224
OpenAI Moderation v1 (007)
Self-Harm
0.0022615299
OpenAI Moderation v1 (007)
Hate > Threatening
0.0009793134
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004425854
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
75.9
Gunning-Fog Score
1.6
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
6.5
Dale-Chall Readability Score
8.1
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Sheldon Whitehouse
First of all, thank you, Mr. Fine, for the work that you have done. I appreciate it very much, but I have to say it is creepy to read your report and see what was done. I served in the Department of Justice for 4 years, and my sense was that no matter how ardent the politics of any administration, they knew there were certain things you just do not do; there were certain institutions you just do not ruin. And the Department of Justice was obviously one of them, probably the most significant one. And so the fact that this happened really shows that when it comes to politics, this is an administration that has no gag reflex. And it was brought home particularly in their description of -- I mean, if there is one area where the Bush administration would like to identify itself as being involved and interested and effective, it is counterterrorism. And yet where a truly experienced, highly regarded counterterrorism prosecutor is up for a position, that person got knocked out for somebody who had essentially no qualification whatsoever but the political qualification. And I cannot help but remark on the priorities that that choice reflects.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.58333
Very Positive
Harvard-IV (Absolute)
0.58333
Very Positive
Harvard-IV (Logit)
1.26567
VADER
0.984
Very Positive
Moderation
Sexual
0.0322525651
OpenAI Moderation v1 (007)
Harassment
0.0183898854
OpenAI Moderation v1 (007)
Violence > Graphic
0.0150389329
OpenAI Moderation v1 (007)
Hate
0.003714499
OpenAI Moderation v1 (007)
Sexual > Minors
0.002837092
OpenAI Moderation v1 (007)
Violence
0.0026378362
OpenAI Moderation v1 (007)
Self-Harm
0.0005617861
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003891445
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.80817E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.96751E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.45099E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.2
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
99
Magnitude:
0.198
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
84
Magnitude:
0.167
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
51.5
Gunning-Fog Score
14.7
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
44
Sprache Difficult Word Count
47
Sheldon Whitehouse
The concern I have is that for all that was done in the past -- and you have done a wonderful job of shedding some light on it -- the present Attorney General's position appears to be, We will sin no more, and I believe that he has kept his word on that. The problem is that there is a residue from what was done before. As you said, it was serious; it was significant; it was systemic. And the idea that it had no effect but lingers in the Department to me is just not realistic. And I see in particular there are a number of people who were hired into the Department, who are presumably still there, hired through a civil service system that was corrupted in this case. There were immigration judges hired, I believe, as you note, several instances in which they were hired without even interviews or without even a reference to the Executive Office of Immigration Review. We count more than 20 judges appointed under this process, some there was a little bit more screening, but some it appears who have just been assigned out by the politicos.
Sentiment
Loughran McDonald (Relative)
-0.42857
Negative
Loughran McDonald (Absolute)
-0.42857
Negative
Loughran McDonald (Logit)
-0.78846
Harvard-IV (Relative)
0.17647
Leans Positive
Harvard-IV (Absolute)
0.17647
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.318
Somewhat Negative
Moderation
Violence > Graphic
0.0411290996
OpenAI Moderation v1 (007)
Harassment
0.0143841462
OpenAI Moderation v1 (007)
Violence
0.0055057186
OpenAI Moderation v1 (007)
Harassment > Threatening
0.004279409
OpenAI Moderation v1 (007)
Sexual
0.0034255027
OpenAI Moderation v1 (007)
Hate
0.0005200538
OpenAI Moderation v1 (007)
Sexual > Minors
9.39263E-5
OpenAI Moderation v1 (007)
Self-Harm
5.52407E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.32582E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.0125E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4183E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.238
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
99
Magnitude:
0.234
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.151
Magnitude:
200
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
79
Magnitude:
0.187
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.9
Gunning-Fog Score
14.7
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
35
Sprache Difficult Word Count
35
Sheldon Whitehouse
Can you guarantee us that those people are qualified? And setting that aside, is that really the correct standard, or should there be some consequence for folks who come through what purports to be a civil service process but is truly a bogus one, and now hold a position that grants them civil service protection that they frankly do not deserve by virtue of the discrepancies from a proper process by which they were hired?
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
1.02165
VADER
0.741
Very Positive
Moderation
Violence
0.0060881866
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018354776
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008411065
OpenAI Moderation v1 (007)
Harassment
0.0008407488
OpenAI Moderation v1 (007)
Sexual
0.0004353773
OpenAI Moderation v1 (007)
Self-Harm
8.59425E-5
OpenAI Moderation v1 (007)
Hate
6.50209E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.01017E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.88106E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.4732E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.4104E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.093
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
100
Magnitude:
0.093
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Law and Crime
Score:
45.728
Magnitude:
193
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Immigration
Score:
38.559
Magnitude:
193
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.8
Gunning-Fog Score
18.7
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
24
Glenn Fine
Simply said, Senator Whitehouse, can I guarantee that all are qualified immigration judges? No, I cannot. I do know that some of them after they were hired, a few -- a very few -- did not survive the probationary period and are not there anymore. I also know that some, according to the Executive Office for Immigration Review, are doing well and have been good judges.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.586
Very Positive
Moderation
Violence > Graphic
0.0178491726
OpenAI Moderation v1 (007)
Harassment
0.0062542087
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0062056475
OpenAI Moderation v1 (007)
Violence
0.0031579693
OpenAI Moderation v1 (007)
Sexual
0.0010669317
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001699381
OpenAI Moderation v1 (007)
Hate
8.23137E-5
OpenAI Moderation v1 (007)
Self-Harm
6.23947E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.38978E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.8404E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.76E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.224
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
98
Magnitude:
0.219
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Law and Crime
Score:
92.827
Magnitude:
75
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
58
Magnitude:
0.13
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
57.1
Gunning-Fog Score
10.8
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
7.9
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18
Glenn Fine
I think it is a concern. That is the harm of this process because they were not required to compete against all the other qualified candidates who did not get an opportunity to do it. The Department has changed the process and is now hiring according to what I believe is an appropriate process.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
-0.616
Very Negative
Moderation
Violence
0.0500485417
OpenAI Moderation v1 (007)
Sexual
0.0370491849
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0352544128
OpenAI Moderation v1 (007)
Hate
0.0124626618
OpenAI Moderation v1 (007)
Harassment
0.0044188262
OpenAI Moderation v1 (007)
Hate > Threatening
0.0024375557
OpenAI Moderation v1 (007)
Violence > Graphic
0.001714877
OpenAI Moderation v1 (007)
Sexual > Minors
0.000325902
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002485583
OpenAI Moderation v1 (007)
Self-Harm
7.43688E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.0489E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.161
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Immigration
Score:
93.985
Magnitude:
66
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
63.2
Gunning-Fog Score
10.9
Coleman-Liau Index
10.3
SMOG Index
11.3
Automated Readability Index
8.4
Dale-Chall Readability Score
5
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
12
Glenn Fine
You are right, there were approximately 20 to 40 or so immigration judges identified by the process. Not all of them were selected and not all of them are still there, but it is a small number. There are about 230 or so immigration judges in total. So while that is not solace for how the process worked, it is not an overwhelming majority of the immigration judges who obtained their positions through this flawed process.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.115
Leans Positive
Moderation
Violence > Graphic
0.036020542
OpenAI Moderation v1 (007)
Sexual
0.00442128
OpenAI Moderation v1 (007)
Violence
0.0043826476
OpenAI Moderation v1 (007)
Harassment
0.0006169605
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006022492
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002477837
OpenAI Moderation v1 (007)
Self-Harm
0.000204779
OpenAI Moderation v1 (007)
Hate
3.24432E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.48647E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.3791E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.784E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.405
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
97
Magnitude:
0.392
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
76
Magnitude:
0.306
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
64
Gunning-Fog Score
12.3
Coleman-Liau Index
10.1
SMOG Index
11.8
Automated Readability Index
8.8
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
14
Glenn Fine
You are right, they do have civil service protections, and it would be difficult, if not impossible, to look to see ex post facto are they qualified now. I think the important thing is for the officials in the Executive Office for Immigration Review to manage the program appropriately, make sure that people are doing the right thing. And if they are not and are not able to be immigration judges, they ought to take action.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.153
Leans Positive
Moderation
Harassment
0.0197914167
OpenAI Moderation v1 (007)
Hate
0.0071120521
OpenAI Moderation v1 (007)
Violence
0.003368521
OpenAI Moderation v1 (007)
Sexual
0.0020204105
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011085574
OpenAI Moderation v1 (007)
Self-Harm
0.0006206754
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005553985
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.04681E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.72387E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.73691E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.3672E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.343
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Immigration
Score:
93.13
Magnitude:
73
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Social Issue > Demographics > Immigration
Score:
75
Magnitude:
0.258
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
73
Magnitude:
0.25
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
54.2
Gunning-Fog Score
14.3
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
21
Sheldon Whitehouse
What is the consequence -- you have indicated that there is no criminal prosecution that is available. Your report points out that it was a violation of Federal law to do this. I do not read in your report that there is any referral of any kind that you suggest for any legal action. It looks like they got away with it scot free and that the so-called loyal Bushies that they stuffed into these positions would also have gotten away with it and will be there essentially indefinitely protected by civil service protections that they do not deserve?
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.44444
Positive
Harvard-IV (Absolute)
0.44444
Positive
Harvard-IV (Logit)
0.89794
VADER
0.077
Neutral
Moderation
Harassment
0.193947088
OpenAI Moderation v1 (007)
Violence
0.0154495327
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0113939379
OpenAI Moderation v1 (007)
Sexual
0.0087483306
OpenAI Moderation v1 (007)
Hate
0.0082729479
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023491402
OpenAI Moderation v1 (007)
Self-Harm
0.0004132532
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001934434
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.14814E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.69416E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.7948E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Crime
Score:
100
Magnitude:
0.2
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
96
Magnitude:
0.192
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Immigration
Score:
94.238
Magnitude:
76
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Financial and Business Service > Legal Service
Score:
55
Magnitude:
0.11
Code:
4006007
Url:
https://cv.iptc.org/newscodes/subjectcode/04006007
Wikidata_id:
Q1494322
Wikidata_label:
legal services
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
51.8
Gunning-Fog Score
14.7
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
28
Glenn Fine
Well, Senator Whitehouse, I do not think they got away with it. I do think, first, their actions were exposed and condemned. Two, the ones -- at least one who was with the Department should be considered and I believe will be considered for appropriate disciplinary action. The ones who are no longer with the Department should never get a job with the Department or, in my view, any other Federal agency based upon the conduct listed, and I hope -- and they should consider this action. And there are also potential bar issues for the attorneys who have committed misconduct.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
0.178
Leans Positive
Moderation
Harassment
0.0122134632
OpenAI Moderation v1 (007)
Sexual
0.0073982068
OpenAI Moderation v1 (007)
Violence
0.0054895816
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027748449
OpenAI Moderation v1 (007)
Hate
0.0021007183
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013780981
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002502798
OpenAI Moderation v1 (007)
Self-Harm
0.0002372181
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.20938E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.88802E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.058E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Employment Agency
Score:
100
Magnitude:
0.091
Code:
4006004
Url:
https://cv.iptc.org/newscodes/subjectcode/04006004
Wikidata_id:
Q261362
Wikidata_label:
employment agency
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.936
Magnitude:
99
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Punishment
Score:
91
Magnitude:
0.082
Code:
2004000
Url:
https://cv.iptc.org/newscodes/subjectcode/02004000
Wikidata_id:
Q186361
Wikidata_label:
punishment
Source:
IPTC Subject
Topic:
Religion and Belief > Values > Corrupt Practices
Score:
78
Magnitude:
0.071
Code:
12006002
Url:
https://cv.iptc.org/newscodes/subjectcode/12006002
Wikidata_id:
Q5173053
Wikidata_label:
Corrupt practices
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
61
Magnitude:
0.055
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
56
Gunning-Fog Score
12.8
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
24
Glenn Fine
And so I do not believe that they got away with it, and I believe that both our report and the actions of this Committee and potential ramifications belie that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Harassment
0.2980103251
OpenAI Moderation v1 (007)
Violence
0.0853480655
OpenAI Moderation v1 (007)
Sexual
0.0136061106
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0133305817
OpenAI Moderation v1 (007)
Hate
0.0112080626
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028696004
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001394493
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001072792
OpenAI Moderation v1 (007)
Self-Harm
9.7539E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.311E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.3924E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
100
Magnitude:
0.14
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.783
Magnitude:
101
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.5
Gunning-Fog Score
16
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Sheldon Whitehouse
Well, your report was certainly very important, and whatever consequences do ensue, I very much appreciate that you have done it, and the thoughtful way in which it was done. I cannot resist in my last 20 seconds to just observe that you are not involved in the investigation into the Office of Legal Counsel. That is an OPR investigation. Is that correct?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.892
Very Positive
Moderation
Violence
0.0284202368
OpenAI Moderation v1 (007)
Harassment
0.0223625
OpenAI Moderation v1 (007)
Violence > Graphic
0.0048383234
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042788659
OpenAI Moderation v1 (007)
Sexual
0.0011478309
OpenAI Moderation v1 (007)
Hate
0.0010809083
OpenAI Moderation v1 (007)
Self-Harm
1.73654E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.10935E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.6794E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.14E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.74E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Research
Score:
100
Magnitude:
0.082
Code:
13006000
Url:
https://cv.iptc.org/newscodes/subjectcode/13006000
Wikidata_id:
Q42240
Wikidata_label:
research
Source:
IPTC Subject
Topic:
Law and Crime
Score:
94.005
Magnitude:
30
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Science and Technology > Applied Science
Score:
77
Magnitude:
0.063
Code:
13001000
Url:
https://cv.iptc.org/newscodes/subjectcode/13001000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
59.2
Gunning-Fog Score
10.7
Coleman-Liau Index
10.7
SMOG Index
10.8
Automated Readability Index
7.7
Dale-Chall Readability Score
4
Sprache Readability Score
4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
17
Glenn Fine
Which one are you talking about? Could you amplify that?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Self-Harm > Intent
0.0732848246
OpenAI Moderation v1 (007)
Self-Harm
0.045099415
OpenAI Moderation v1 (007)
Violence
0.0221530208
OpenAI Moderation v1 (007)
Harassment
0.0137744049
OpenAI Moderation v1 (007)
Sexual
0.0128416403
OpenAI Moderation v1 (007)
Violence > Graphic
0.0125293896
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0100764242
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015816946
OpenAI Moderation v1 (007)
Hate
0.0014673963
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006378482
OpenAI Moderation v1 (007)
Hate > Threatening
4.56562E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
96.786
Magnitude:
62
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
83.3
Gunning-Fog Score
6
Coleman-Liau Index
10.6
SMOG Index
7.3
Automated Readability Index
2.3
Dale-Chall Readability Score
3.4
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Sheldon Whitehouse
I am aware that there is an OPR investigation into the Office of Legal Counsel with respect to whether the opinions that were prepared by the Office of Legal Counsel, I think, at the tail end of the process not that different from what took place here, heavily politicized in which standards were knocked over in order to get the right political answer, and whether those opinions met basic standards of legal research, legal propriety, and so forth. Are you in any respect also looking into anything at the Office of Legal Counsel, or is that solely an OPR investigation?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.56522
Very Positive
Harvard-IV (Absolute)
0.56522
Very Positive
Harvard-IV (Logit)
1.21302
VADER
0.891
Very Positive
Moderation
Sexual
0.0183579657
OpenAI Moderation v1 (007)
Harassment
0.0043620032
OpenAI Moderation v1 (007)
Violence
0.0036935704
OpenAI Moderation v1 (007)
Hate
0.0016608299
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016514578
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006293755
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002348049
OpenAI Moderation v1 (007)
Self-Harm
0.0001153227
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.4796E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.0339E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.6472E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Research
Score:
100
Magnitude:
0.084
Code:
13006000
Url:
https://cv.iptc.org/newscodes/subjectcode/13006000
Wikidata_id:
Q42240
Wikidata_label:
research
Source:
IPTC Subject
Topic:
Science and Technology > Applied Science
Score:
71
Magnitude:
0.06
Code:
13001000
Url:
https://cv.iptc.org/newscodes/subjectcode/13001000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
68
Magnitude:
0.057
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
21.6
Gunning-Fog Score
19
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
22
Glenn Fine
The investigation that you describe is an Office of Professional Responsibility investigation. We do not have jurisdiction, unfortunately, over attorneys in the exercise of their legal duty. I have testified about that, and I am hopeful, I hope, that the Congress will do something about that, because I believe that the Inspector General's office ought to have unlimited jurisdiction in the Department of Justice. We are independent, we are transparent, and there is no conflict of interest. And so I think that ought to be changed.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.875
Very Positive
Moderation
Violence
0.0574257981
OpenAI Moderation v1 (007)
Harassment
0.0496389985
OpenAI Moderation v1 (007)
Sexual
0.0440465141
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0194323555
OpenAI Moderation v1 (007)
Self-Harm
0.0138470074
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0055066637
OpenAI Moderation v1 (007)
Violence > Graphic
0.004601738
OpenAI Moderation v1 (007)
Sexual > Minors
0.0038535771
OpenAI Moderation v1 (007)
Hate
0.0031842399
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003022656
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.76167E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.131
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.193
Magnitude:
100
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
90
Magnitude:
0.118
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Computing and Information Technology > Software
Score:
90
Magnitude:
0.117
Code:
4003005
Url:
https://cv.iptc.org/newscodes/subjectcode/04003005
Wikidata_id:
Q7397
Wikidata_label:
software
Source:
IPTC Subject
Topic:
Science and Technology > Research
Score:
77
Magnitude:
0.101
Code:
13006000
Url:
https://cv.iptc.org/newscodes/subjectcode/13006000
Wikidata_id:
Q42240
Wikidata_label:
research
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
55
Magnitude:
0.072
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Science and Technology > Applied Science
Score:
52
Magnitude:
0.068
Code:
13001000
Url:
https://cv.iptc.org/newscodes/subjectcode/13001000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
40.8
Gunning-Fog Score
12.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
26
Sheldon Whitehouse
And you make your findings public.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.0094502342
OpenAI Moderation v1 (007)
Violence
0.0030896164
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023079136
OpenAI Moderation v1 (007)
Sexual
0.0016061091
OpenAI Moderation v1 (007)
Hate
0.0003267924
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002382245
OpenAI Moderation v1 (007)
Harassment > Threatening
8.89837E-5
OpenAI Moderation v1 (007)
Self-Harm
8.68954E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.4838E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.1586E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.0817E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.808
Magnitude:
86
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.5
Flesch-Kincaid Ease
87.9
Gunning-Fog Score
2.4
Coleman-Liau Index
11.6
SMOG Index
3.3
Automated Readability Index
3.6
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Glenn Fine
Exactly. We are transparent. We transparently provide to the Congress and others the basis of our findings, and we do that to the extent possible. And so I think that is important. I believe our office ought to have jurisdiction throughout the Department of Justice.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.637
Very Positive
Moderation
Sexual
0.0501825591
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020268579
OpenAI Moderation v1 (007)
Violence
0.0020175801
OpenAI Moderation v1 (007)
Harassment
0.0017586703
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011891465
OpenAI Moderation v1 (007)
Self-Harm
0.0005958002
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003024989
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002485467
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001777846
OpenAI Moderation v1 (007)
Hate
0.0001412762
OpenAI Moderation v1 (007)
Hate > Threatening
1.8116E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
34.979
Magnitude:
6
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
64.2
Gunning-Fog Score
8
Coleman-Liau Index
12
SMOG Index
10
Automated Readability Index
5.7
Dale-Chall Readability Score
4.7
Sprache Readability Score
3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
Sheldon Whitehouse
Well, hopefully we will have a chance to --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.7
Very Positive
Moderation
Harassment
0.4542248324
OpenAI Moderation v1 (007)
Hate
0.06229055
OpenAI Moderation v1 (007)
Sexual
0.0576120103
OpenAI Moderation v1 (007)
Sexual > Minors
0.0318195467
OpenAI Moderation v1 (007)
Violence > Graphic
0.0238201246
OpenAI Moderation v1 (007)
Violence
0.0138788106
OpenAI Moderation v1 (007)
Self-Harm
0.0019003421
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005081226
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001599598
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.22838E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.83193E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.754
Magnitude:
45
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
93
Gunning-Fog Score
8.2
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
1.4
Dale-Chall Readability Score
2.4
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Tom Coburn
Mr. Chairman, I have got a markup, and we usually run this Committee by the early bird rule. I was here before Senator Whitehouse, so I would like very much to be recognized so I can go to that markup.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.8043829352
OpenAI Moderation v1 (007)
Hate
0.0451111468
OpenAI Moderation v1 (007)
Violence > Graphic
0.0380634592
OpenAI Moderation v1 (007)
Violence
0.0274249585
OpenAI Moderation v1 (007)
Sexual
0.0259990542
OpenAI Moderation v1 (007)
Self-Harm
0.0078759658
OpenAI Moderation v1 (007)
Harassment > Threatening
0.006537811
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0023409484
OpenAI Moderation v1 (007)
Hate > Threatening
0.0019202318
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0014309993
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004060726
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.095
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
72.7
Gunning-Fog Score
7.3
Coleman-Liau Index
7.1
SMOG Index
10.6
Automated Readability Index
3.6
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
8
Sheldon Whitehouse
Actually, nobody was here before me.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.0135790222
OpenAI Moderation v1 (007)
Violence > Graphic
0.0085612963
OpenAI Moderation v1 (007)
Violence
0.0053494747
OpenAI Moderation v1 (007)
Sexual > Minors
0.003527919
OpenAI Moderation v1 (007)
Sexual
0.0027722292
OpenAI Moderation v1 (007)
Hate
0.0022482986
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014082565
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002063361
OpenAI Moderation v1 (007)
Self-Harm
0.0001739936
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.95075E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6758E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
31.5
Gunning-Fog Score
9.1
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
4.3
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Tom Coburn
Well, you were not here when I got here.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.273
Slightly Positive
Moderation
Violence > Graphic
0.0212341387
OpenAI Moderation v1 (007)
Harassment
0.0094060379
OpenAI Moderation v1 (007)
Violence
0.0075321936
OpenAI Moderation v1 (007)
Sexual
0.0012747865
OpenAI Moderation v1 (007)
Hate
0.0010553508
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009446979
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006028434
OpenAI Moderation v1 (007)
Self-Harm
8.35785E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.80728E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.19774E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.10296E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest
Score:
100
Magnitude:
0.052
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
3.6
Coleman-Liau Index
3.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.4
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Sheldon Whitehouse
I was here when you got here.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
1.3889957219
OpenAI Moderation v1 (007)
Hate
0.0487884361
OpenAI Moderation v1 (007)
Violence
0.0141160897
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019031784
OpenAI Moderation v1 (007)
Sexual
0.0006885424
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006493874
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001406231
OpenAI Moderation v1 (007)
Hate > Threatening
5.41443E-5
OpenAI Moderation v1 (007)
Self-Harm
1.4445E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.059E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.314E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.8
Coleman-Liau Index
2.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Tom Coburn
You were not sitting there.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0828212884
OpenAI Moderation v1 (007)
Violence
0.0156715992
OpenAI Moderation v1 (007)
Sexual
0.0147496583
OpenAI Moderation v1 (007)
Hate
0.0087664615
OpenAI Moderation v1 (007)
Sexual > Minors
0.0060157869
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027748132
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021731317
OpenAI Moderation v1 (007)
Self-Harm
0.0003196808
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001812575
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001761732
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.1512E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.5
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
10.1
SMOG Index
3.3
Automated Readability Index
1.8
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Sheldon Whitehouse
I was sitting here when you got here. I have been here the whole time. I was here before the Chairman. I greeted the witness 10 minutes before the hearing.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.273
Slightly Positive
Moderation
Harassment
0.0046843666
OpenAI Moderation v1 (007)
Violence
0.0038590784
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027432634
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002165246
OpenAI Moderation v1 (007)
Sexual
0.0019171377
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007337326
OpenAI Moderation v1 (007)
Hate
0.0006211971
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004922955
OpenAI Moderation v1 (007)
Self-Harm
9.24101E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.19521E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.712E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
100
Magnitude:
0.077
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
94.9
Gunning-Fog Score
3
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
1.2
Dale-Chall Readability Score
2
Sprache Readability Score
2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
5
Tom Coburn
Either way, may I be recognized?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0060408569
OpenAI Moderation v1 (007)
Sexual
0.0028847102
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023382709
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020884218
OpenAI Moderation v1 (007)
Harassment
0.001084456
OpenAI Moderation v1 (007)
Sexual > Minors
0.000996909
OpenAI Moderation v1 (007)
Hate
0.0002148705
OpenAI Moderation v1 (007)
Hate > Threatening
8.5548E-6
OpenAI Moderation v1 (007)
Self-Harm
2.0655E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.52E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.02E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Income
Score:
100
Magnitude:
0.056
Code:
4006019
Url:
https://cv.iptc.org/newscodes/subjectcode/04006019
Wikidata_id:
Q7170591
Wikidata_label:
personal income
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
73.8
Gunning-Fog Score
9.1
Coleman-Liau Index
8.7
SMOG Index
9
Automated Readability Index
1.2
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Ben Cardin
Of course.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.015001338
OpenAI Moderation v1 (007)
Violence
0.0040177518
OpenAI Moderation v1 (007)
Harassment
0.002059954
OpenAI Moderation v1 (007)
Hate
0.0020370915
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005570099
OpenAI Moderation v1 (007)
Sexual > Minors
5.98669E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
3.69599E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.4679E-5
OpenAI Moderation v1 (007)
Self-Harm
1.41893E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.9454E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1547E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
32.319
Magnitude:
6
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Sheldon Whitehouse
I yield.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.0193763684
OpenAI Moderation v1 (007)
Violence
0.0081181097
OpenAI Moderation v1 (007)
Harassment
0.0060412538
OpenAI Moderation v1 (007)
Hate
0.0042596785
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026978792
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011014285
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004434738
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002010305
OpenAI Moderation v1 (007)
Self-Harm
0.0001702263
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001378456
OpenAI Moderation v1 (007)
Hate > Threatening
3.35864E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
1.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
8
Sprache Readability Score
1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Ben Cardin
Senator Coburn.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.1119935536
OpenAI Moderation v1 (007)
Hate
0.0187658516
OpenAI Moderation v1 (007)
Violence
0.0012834364
OpenAI Moderation v1 (007)
Sexual
0.0005675232
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004529159
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001236247
OpenAI Moderation v1 (007)
Sexual > Minors
7.2596E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.7444E-6
OpenAI Moderation v1 (007)
Self-Harm
6.923E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.67E-8
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.2E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
10.2
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Tom Coburn
Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.0213634426
OpenAI Moderation v1 (007)
Sexual
0.0078269783
OpenAI Moderation v1 (007)
Violence > Graphic
0.002968118
OpenAI Moderation v1 (007)
Violence
0.0025956095
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012990839
OpenAI Moderation v1 (007)
Hate
0.0011402492
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004144677
OpenAI Moderation v1 (007)
Hate > Threatening
5.62531E-5
OpenAI Moderation v1 (007)
Self-Harm
3.38354E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.56352E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.5141E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Tom Coburn
Thank you for your report. Is there anything in your investigation here -- what I am seeing is low-level politicization and incompetence above it. Is there anything to suggest that there was some grand scheme led by the Attorney General to politicize this in multiple ways?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.296
Slightly Positive
Moderation
Sexual
0.0500901777
OpenAI Moderation v1 (007)
Violence > Graphic
0.002040459
OpenAI Moderation v1 (007)
Violence
0.0020208208
OpenAI Moderation v1 (007)
Harassment
0.0017664155
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012040727
OpenAI Moderation v1 (007)
Self-Harm
0.0005998155
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003055642
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002506569
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001799145
OpenAI Moderation v1 (007)
Hate
0.0001425733
OpenAI Moderation v1 (007)
Hate > Threatening
1.8216E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Applied Science
Score:
100
Magnitude:
0.051
Code:
13001000
Url:
https://cv.iptc.org/newscodes/subjectcode/13001000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
49.7
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
15
Glenn Fine
Well, first I would not call it low level. These are high officials in the Department of Justice. These are the White House Liaison, the Chief of Staff --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.702
Very Positive
Moderation
Sexual
0.015978908
OpenAI Moderation v1 (007)
Violence
0.0035853027
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027328268
OpenAI Moderation v1 (007)
Harassment
0.0022413902
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012628221
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006943001
OpenAI Moderation v1 (007)
Hate
7.26848E-5
OpenAI Moderation v1 (007)
Self-Harm
3.91193E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.95796E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.896E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.011E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.072
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.483
Magnitude:
46
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
91
Magnitude:
0.066
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
86
Magnitude:
0.062
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Labor > Employee
Score:
70
Magnitude:
0.05
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.6
Flesch-Kincaid Ease
85.6
Gunning-Fog Score
5.2
Coleman-Liau Index
9.4
SMOG Index
9
Automated Readability Index
3.4
Dale-Chall Readability Score
3.3
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Tom Coburn
I will change my characterization. Is there anything -- what I am trying to get at, is there anything in your investigation to say that the Attorney General had plans to politicize the Justice Department?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
0.527
Very Positive
Moderation
Sexual
0.002976488
OpenAI Moderation v1 (007)
Violence
0.0020150803
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016564089
OpenAI Moderation v1 (007)
Harassment
0.0013917506
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011757489
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006270055
OpenAI Moderation v1 (007)
Hate
0.0003252372
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001047857
OpenAI Moderation v1 (007)
Self-Harm
2.9937E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5401E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.472E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Research
Score:
100
Magnitude:
0.066
Code:
13006000
Url:
https://cv.iptc.org/newscodes/subjectcode/13006000
Wikidata_id:
Q42240
Wikidata_label:
research
Source:
IPTC Subject
Topic:
Law and Crime
Score:
95.287
Magnitude:
29
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
93
Magnitude:
0.062
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics
Score:
87
Magnitude:
0.058
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
47.8
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.9
Dale-Chall Readability Score
4.1
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
Glenn Fine
In terms of these two reports, we did not find that the Attorney General knew about the improper political considerations.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0
Neutral
Moderation
Violence
0.0372465263
OpenAI Moderation v1 (007)
Violence > Graphic
0.009939669
OpenAI Moderation v1 (007)
Sexual
0.0048403446
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021095113
OpenAI Moderation v1 (007)
Harassment
0.0006004336
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005950155
OpenAI Moderation v1 (007)
Hate
0.0001726802
OpenAI Moderation v1 (007)
Hate > Threatening
7.77008E-5
OpenAI Moderation v1 (007)
Self-Harm
1.34212E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.6598E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.055E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.057
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.53
Magnitude:
35
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.5
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.2
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
7
Tom Coburn
But you would agree that there was certainly incompetence at the level of management for this to be going on with an Attorney General not being aware of it?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.153
Leans Positive
Moderation
Harassment > Threatening
0.1315407804
OpenAI Moderation v1 (007)
Violence
0.0968401204
OpenAI Moderation v1 (007)
Harassment
0.0871880155
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021934238
OpenAI Moderation v1 (007)
Hate
0.0020839376
OpenAI Moderation v1 (007)
Sexual
0.001344902
OpenAI Moderation v1 (007)
Hate > Threatening
0.0013160563
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006201861
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001782327
OpenAI Moderation v1 (007)
Self-Harm
6.43473E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.06564E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.669
Magnitude:
20
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49
Gunning-Fog Score
15.7
Coleman-Liau Index
10
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
10
Glenn Fine
As I stated before, I agree that there should have been -- there was inadequate supervision. They should have known what was going on here. They should have more closely supervised the junior people who were elevated to very high positions, and I think that was part of the problem.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.44
Negative
Moderation
Sexual
0.0298387429
OpenAI Moderation v1 (007)
Hate
0.0041135358
OpenAI Moderation v1 (007)
Violence
0.0025195512
OpenAI Moderation v1 (007)
Harassment
0.0016511114
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013408436
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004407783
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004021771
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002433462
OpenAI Moderation v1 (007)
Self-Harm
0.000238772
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.65978E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.24428E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
96.036
Magnitude:
29
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
65.9
Gunning-Fog Score
11.4
Coleman-Liau Index
11.3
SMOG Index
11.3
Automated Readability Index
8.5
Dale-Chall Readability Score
3.4
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
11
Tom Coburn
And you feel fairly comfortable that the things that needed to be changed within the Justice Department in light of your findings have, in fact, been changed in terms of procedure, monitoring, and supervision?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.772
Very Positive
Moderation
Violence > Graphic
0.036225628
OpenAI Moderation v1 (007)
Harassment
0.0246648502
OpenAI Moderation v1 (007)
Sexual
0.0138934818
OpenAI Moderation v1 (007)
Hate
0.0100081852
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0039727594
OpenAI Moderation v1 (007)
Violence
0.0035904926
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032899898
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002280502
OpenAI Moderation v1 (007)
Self-Harm
8.29306E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.96037E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.70763E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.112
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
90
Magnitude:
0.101
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
82.237
Magnitude:
50
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.9
Gunning-Fog Score
18.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
11
Glenn Fine
We have made recommendations. The Attorney General has agreed to implement those recommendations. We will continue to monitor that. But he has agreed with the actions that we suggest should occur. It does require vigilance. It requires not simply changing a procedure, but making sure the procedures are followed, and I think that is important as well.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.836
Very Positive
Moderation
Violence
0.0703631726
OpenAI Moderation v1 (007)
Harassment
0.0312724937
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0185507655
OpenAI Moderation v1 (007)
Violence > Graphic
0.0160644588
OpenAI Moderation v1 (007)
Hate
0.0036858815
OpenAI Moderation v1 (007)
Sexual
0.0017440143
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005626811
OpenAI Moderation v1 (007)
Self-Harm
0.0004131914
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003470627
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.01908E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.1251E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
100
Magnitude:
0.071
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.955
Magnitude:
34
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
11.5
Coleman-Liau Index
12
SMOG Index
11.7
Automated Readability Index
7.1
Dale-Chall Readability Score
5.7
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
16
Tom Coburn
It requires management.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Sexual
0.1087900368
OpenAI Moderation v1 (007)
Hate
0.0392155634
OpenAI Moderation v1 (007)
Harassment
0.0196000532
OpenAI Moderation v1 (007)
Violence
0.0081813625
OpenAI Moderation v1 (007)
Sexual > Minors
0.0031037798
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025318664
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010251188
OpenAI Moderation v1 (007)
Self-Harm
6.76101E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.72258E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.39138E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.10055E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.898
Magnitude:
57
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
34.6
Gunning-Fog Score
14.5
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
11.5
Dale-Chall Readability Score
10
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Glenn Fine
Yes, it does.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Violence > Graphic
0.0148553634
OpenAI Moderation v1 (007)
Sexual
0.0065478685
OpenAI Moderation v1 (007)
Violence
0.0025595495
OpenAI Moderation v1 (007)
Harassment
0.0005263646
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003140437
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002371815
OpenAI Moderation v1 (007)
Hate
4.3397E-5
OpenAI Moderation v1 (007)
Self-Harm
2.20339E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.4339E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.02E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.588E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
24.495
Magnitude:
3
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
1.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Tom Coburn
Which was the reason that the last Attorney General left because of inept management.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0
Neutral
Moderation
Harassment
0.1554699382
OpenAI Moderation v1 (007)
Hate
0.0603362801
OpenAI Moderation v1 (007)
Sexual
0.0433044042
OpenAI Moderation v1 (007)
Violence
0.013021112
OpenAI Moderation v1 (007)
Self-Harm
0.0108233318
OpenAI Moderation v1 (007)
Violence > Graphic
0.0084225598
OpenAI Moderation v1 (007)
Harassment > Threatening
0.006807351
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.001303564
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.00124816
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009873566
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008616998
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
53.6
Gunning-Fog Score
8.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.5
Dale-Chall Readability Score
4.1
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
5
Tom Coburn
I have several other questions. I will submit them for the record because of the time constraints here. I appreciate the hard work and I appreciate the transparency that you bring. Inspector Generals are very important because they form the balance to stop -- nobody wants politicization of these types of positions. And the fact that we have an IG and we have strengthened that, and we are going to continue to strengthen that, is very hopeful and it gives a great breath of fresh air to the American people that they can see transparently what is functioning well, as well as what is not functioning well within our Government, and I thank you.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.95551
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.973
Very Positive
Moderation
Sexual
0.0298643863
OpenAI Moderation v1 (007)
Hate
0.0040568375
OpenAI Moderation v1 (007)
Violence
0.0025090441
OpenAI Moderation v1 (007)
Harassment
0.0016266751
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013397354
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004327405
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003952553
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000238462
OpenAI Moderation v1 (007)
Self-Harm
0.000233135
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.35103E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.15353E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.064
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Law and Crime
Score:
82.116
Magnitude:
14
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Labor > Employment
Score:
79
Magnitude:
0.051
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
55.9
Gunning-Fog Score
14
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
11.6
Dale-Chall Readability Score
3.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
24
Glenn Fine
Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.2517413348
OpenAI Moderation v1 (007)
Violence > Graphic
0.0323049724
OpenAI Moderation v1 (007)
Violence
0.0260985951
OpenAI Moderation v1 (007)
Sexual
0.0078388017
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0070649643
OpenAI Moderation v1 (007)
Hate
0.0057307148
OpenAI Moderation v1 (007)
Self-Harm
0.0001820893
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.96456E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.77589E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.36702E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.96367E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
86.718
Magnitude:
114
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Ben Cardin
Mr. Fine, first let me thank you for your report. The Inspector General was created in order to provide an independent review of compliance with rules and laws. And as you point out, your findings are open to the public, and I think it is extremely important work, and I thank you very much for what you have done.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.834
Very Positive
Moderation
Violence
0.0322343665
OpenAI Moderation v1 (007)
Violence > Graphic
0.018651862
OpenAI Moderation v1 (007)
Harassment
0.0153426721
OpenAI Moderation v1 (007)
Sexual
0.0068434485
OpenAI Moderation v1 (007)
Hate
0.0042948304
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028601389
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001379987
OpenAI Moderation v1 (007)
Sexual > Minors
0.000119423
OpenAI Moderation v1 (007)
Self-Harm
1.9403E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.94E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.22E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.134
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
80
Magnitude:
0.108
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
75
Magnitude:
0.101
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
53
Magnitude:
0.071
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
75.7
Gunning-Fog Score
8.6
Coleman-Liau Index
8.9
SMOG Index
10.3
Automated Readability Index
5.7
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
13
Ben Cardin
You have indicated that steps have been taken by the Attorney General to correct the circumstance to make sure that political considerations are not involved in these decisions. I want to go a little bit further. You made six specific recommendations. Are you confident that all six are being implemented?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.7
Very Positive
Moderation
Violence
0.0215780034
OpenAI Moderation v1 (007)
Sexual
0.0081382706
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036779395
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003106119
OpenAI Moderation v1 (007)
Hate
0.002133144
OpenAI Moderation v1 (007)
Hate > Threatening
0.0019831174
OpenAI Moderation v1 (007)
Harassment
0.0016812084
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007163818
OpenAI Moderation v1 (007)
Self-Harm
3.72677E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.46385E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.2082E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.086
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.605
Magnitude:
59
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Science and Technology > Electronics
Score:
89
Magnitude:
0.077
Code:
13016000
Url:
https://cv.iptc.org/newscodes/subjectcode/13016000
Wikidata_id:
Q126095
Wikidata_label:
electronic engineering
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
50.3
Gunning-Fog Score
12.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.6
Dale-Chall Readability Score
4.1
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
16
Glenn Fine
The steps are being taken to implement those recommendations, yes.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Violence
0.0382667087
OpenAI Moderation v1 (007)
Sexual
0.0260215951
OpenAI Moderation v1 (007)
Violence > Graphic
0.0105786763
OpenAI Moderation v1 (007)
Hate
0.0060968661
OpenAI Moderation v1 (007)
Harassment
0.0056747234
OpenAI Moderation v1 (007)
Self-Harm
0.0024304945
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0018276871
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005087743
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001905084
OpenAI Moderation v1 (007)
Hate > Threatening
7.1055E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6642E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
96.634
Magnitude:
50
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
44.4
Gunning-Fog Score
12
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
9.5
Dale-Chall Readability Score
3.7
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
4
Ben Cardin
And you will be monitoring to make sure that they are, in fact, implemented?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.318
Somewhat Positive
Moderation
Harassment > Threatening
0.0052806947
OpenAI Moderation v1 (007)
Sexual
0.0043153581
OpenAI Moderation v1 (007)
Violence
0.0037600857
OpenAI Moderation v1 (007)
Hate
0.0020640304
OpenAI Moderation v1 (007)
Harassment
0.0018624942
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014411983
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011568475
OpenAI Moderation v1 (007)
Hate > Threatening
0.0009764653
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003940028
OpenAI Moderation v1 (007)
Self-Harm
0.0001163865
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.2395E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
38.662
Magnitude:
10
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
71.8
Gunning-Fog Score
11.3
Coleman-Liau Index
9.4
SMOG Index
11.3
Automated Readability Index
5.8
Dale-Chall Readability Score
3
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Glenn Fine
Yes.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Violence > Graphic
0.0359499565
OpenAI Moderation v1 (007)
Sexual
0.0308415358
OpenAI Moderation v1 (007)
Violence
0.007907438
OpenAI Moderation v1 (007)
Sexual > Minors
0.0022762348
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001402325
OpenAI Moderation v1 (007)
Harassment
0.0013142114
OpenAI Moderation v1 (007)
Self-Harm
0.0004959423
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003900812
OpenAI Moderation v1 (007)
Hate > Threatening
5.90146E-5
OpenAI Moderation v1 (007)
Hate
5.5394E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.19996E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
79.029
Magnitude:
14
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
1.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Ben Cardin
Now, there are other areas in which the Department of Justice could be influenced on a political agenda where they should not in the hiring of career employees and the agenda of certain agencies that are supposed to operate without political interference. Does you report go into that at all? And has that come up in any of your discussions with the Department of Justice as to the extent of political involvement in the historic roles of the Department of Justice?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.913
Very Positive
Moderation
Harassment
0.0089793662
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0059858747
OpenAI Moderation v1 (007)
Violence
0.0038180035
OpenAI Moderation v1 (007)
Sexual
0.0016678405
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011230513
OpenAI Moderation v1 (007)
Hate
0.0005075429
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003383206
OpenAI Moderation v1 (007)
Self-Harm
0.0001027971
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.27057E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.34003E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1506E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.152
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
73
Magnitude:
0.111
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
68
Magnitude:
0.103
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40.5
Gunning-Fog Score
17.7
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
19
Glenn Fine
Well, I know -- perhaps one of the things you are referring to is the concerns about selective prosecution and prosecutions made on political decisions.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
-0.273
Slightly Negative
Moderation
Violence
0.002398576
OpenAI Moderation v1 (007)
Hate
0.000330959
OpenAI Moderation v1 (007)
Harassment
0.0003123466
OpenAI Moderation v1 (007)
Sexual
0.0001681555
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000166618
OpenAI Moderation v1 (007)
Violence > Graphic
8.33499E-5
OpenAI Moderation v1 (007)
Self-Harm
3.08655E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.47135E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.71423E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.403E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.5354E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
96.975
Magnitude:
81
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
6
Ben Cardin
Correct.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Sexual
0.1312962617
OpenAI Moderation v1 (007)
Violence
0.0091560505
OpenAI Moderation v1 (007)
Sexual > Minors
0.005414847
OpenAI Moderation v1 (007)
Harassment
0.0045281427
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040847459
OpenAI Moderation v1 (007)
Hate
0.0022713666
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020510819
OpenAI Moderation v1 (007)
Self-Harm
0.0012081294
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005876708
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.27249E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.21792E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.53
Magnitude:
25
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
36.6
Gunning-Fog Score
0.4
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
12
Dale-Chall Readability Score
0
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Glenn Fine
And that relates to the question that Senator Whitehouse asked me earlier, and that is, that is a matter that the Office of Professional Responsibility has jurisdiction to handle, and my understanding, publicly stated, is that they are looking into those things. So that is something that we will have to await their conclusions. I believe that we ought to have jurisdiction, but we do not, so we will see what the Office of Professional Responsibility results are.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.064
Neutral
Moderation
Sexual
0.0297387742
OpenAI Moderation v1 (007)
Hate
0.0040952298
OpenAI Moderation v1 (007)
Violence
0.0025291854
OpenAI Moderation v1 (007)
Harassment
0.0016395879
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013395885
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004370471
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004008018
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002424058
OpenAI Moderation v1 (007)
Self-Harm
0.0002373147
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.64865E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.21225E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.118
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40.5
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
18
Ben Cardin
So you are not involved in any of that because of jurisdictional issues?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Sexual
0.00563057
OpenAI Moderation v1 (007)
Violence
0.0045144621
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022642598
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020609641
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018088007
OpenAI Moderation v1 (007)
Harassment
0.0008386858
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001505597
OpenAI Moderation v1 (007)
Hate
0.0001225937
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.11525E-5
OpenAI Moderation v1 (007)
Self-Harm
1.65399E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.8454E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.521
Magnitude:
78
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
50.5
Gunning-Fog Score
8.3
Coleman-Liau Index
10.9
SMOG Index
9
Automated Readability Index
6.4
Dale-Chall Readability Score
4.3
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Glenn Fine
Yes.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Harassment
0.1454557176
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0119726385
OpenAI Moderation v1 (007)
Violence
0.0116564668
OpenAI Moderation v1 (007)
Hate
0.0084156469
OpenAI Moderation v1 (007)
Sexual
0.0039409275
OpenAI Moderation v1 (007)
Violence > Graphic
0.0035948236
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001678049
OpenAI Moderation v1 (007)
Hate > Threatening
2.71688E-5
OpenAI Moderation v1 (007)
Self-Harm
1.00848E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.1422E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.521E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
44.713
Magnitude:
13
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Government Operations
Score:
43.901
Magnitude:
13
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
1.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Ben Cardin
You know, there is also the matter of the manner in which U.S. Attorneys were dismissed, the type of cases that they were involved with. Those are all areas that you are not directly involved in.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.026
Neutral
Moderation
Violence > Graphic
0.0028765211
OpenAI Moderation v1 (007)
Violence
0.000958042
OpenAI Moderation v1 (007)
Hate
0.0008979317
OpenAI Moderation v1 (007)
Harassment
0.0005295109
OpenAI Moderation v1 (007)
Sexual
0.0002729533
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001658364
OpenAI Moderation v1 (007)
Sexual > Minors
1.07288E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.8132E-6
OpenAI Moderation v1 (007)
Self-Harm
1.6088E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.579E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.57E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.3
Flesch-Kincaid Ease
87.7
Gunning-Fog Score
5.9
Coleman-Liau Index
8.7
SMOG Index
7.3
Automated Readability Index
2.8
Dale-Chall Readability Score
3.9
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
7
Glenn Fine
No. That issue we are involved with. We are looking at the removal of U.S. Attorneys that happened. We are doing it jointly with the Office of Professional Responsibility. We are looking at the reasons why they were removed, and we are doing a thorough investigation of that matter. And we will provide that report when it is completed.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
-0.273
Slightly Negative
Moderation
Sexual
0.068170327
OpenAI Moderation v1 (007)
Violence
0.0486208126
OpenAI Moderation v1 (007)
Harassment
0.0453250512
OpenAI Moderation v1 (007)
Sexual > Minors
0.0309086812
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0206063589
OpenAI Moderation v1 (007)
Hate
0.0193095111
OpenAI Moderation v1 (007)
Violence > Graphic
0.0088020279
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0078457786
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0038388025
OpenAI Moderation v1 (007)
Self-Harm
0.0011942697
OpenAI Moderation v1 (007)
Hate > Threatening
0.0011132751
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Applied Science
Score:
100
Magnitude:
0.056
Code:
13001000
Url:
https://cv.iptc.org/newscodes/subjectcode/13001000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Topic:
Law and Crime
Score:
95.338
Magnitude:
37
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
69.5
Gunning-Fog Score
5.7
Coleman-Liau Index
10.6
SMOG Index
8.2
Automated Readability Index
3.4
Dale-Chall Readability Score
4.8
Sprache Readability Score
3
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18
Ben Cardin
Could you give us an indication as to the timing of the release of that report?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0
Neutral
Moderation
Violence
0.0883760455
OpenAI Moderation v1 (007)
Sexual
0.0387975131
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0037826612
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016893859
OpenAI Moderation v1 (007)
Sexual > Minors
0.0016638453
OpenAI Moderation v1 (007)
Harassment
0.0013048925
OpenAI Moderation v1 (007)
Hate
0.0003216174
OpenAI Moderation v1 (007)
Self-Harm
0.0001707378
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001243261
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001205185
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.28453E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
96.893
Magnitude:
60
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
74.3
Gunning-Fog Score
8.9
Coleman-Liau Index
7.4
SMOG Index
9
Automated Readability Index
5.1
Dale-Chall Readability Score
4.7
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Glenn Fine
I really cannot and should not. I have been the IG for 8 years, and I am often asked that question, and I am often wrong. What I can say is that we are taking this very seriously. We are moving as expeditiously as we can. When it is completed, we will release it.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.477
Negative
Moderation
Harassment
0.8436115459
OpenAI Moderation v1 (007)
Violence > Graphic
0.2083430765
OpenAI Moderation v1 (007)
Hate
0.1564190025
OpenAI Moderation v1 (007)
Violence
0.0371129368
OpenAI Moderation v1 (007)
Sexual
0.0277800165
OpenAI Moderation v1 (007)
Sexual > Minors
0.0115287366
OpenAI Moderation v1 (007)
Self-Harm
0.0007586062
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000572922
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.15087E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.11509E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.28909E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
81.5
Gunning-Fog Score
7.3
Coleman-Liau Index
6.1
SMOG Index
8.4
Automated Readability Index
1.5
Dale-Chall Readability Score
2.3
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
11
Ben Cardin
Could I just get certain assurances that we will get reports before the end of this year?
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
0.542
Very Positive
Moderation
Harassment
0.0278662279
OpenAI Moderation v1 (007)
Hate
0.0228155302
OpenAI Moderation v1 (007)
Violence
0.0062483065
OpenAI Moderation v1 (007)
Sexual
0.0035618461
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006591143
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006425782
OpenAI Moderation v1 (007)
Sexual > Minors
7.99064E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.97135E-5
OpenAI Moderation v1 (007)
Self-Harm
2.73067E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.13754E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.6038E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
28.532
Magnitude:
53
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
75.1
Gunning-Fog Score
9.2
Coleman-Liau Index
9.1
SMOG Index
9
Automated Readability Index
7
Dale-Chall Readability Score
1.8
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Glenn Fine
I would hope so, but, again, we are going to take the evidence wherever it leads in whatever fashion it is, and we will do as expeditious a job as we can. And so I think I really ought to leave it at that, Senator Cardin. I understand your question and your reason for wanting to know, but it is probably better for me to just simply say that.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.62
Very Positive
Moderation
Harassment
0.079588691
OpenAI Moderation v1 (007)
Hate
0.0356514414
OpenAI Moderation v1 (007)
Sexual
0.0281366112
OpenAI Moderation v1 (007)
Violence
0.0146485327
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0127857042
OpenAI Moderation v1 (007)
Hate > Threatening
0.0047610767
OpenAI Moderation v1 (007)
Violence > Graphic
0.001092431
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002222946
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.03901E-5
OpenAI Moderation v1 (007)
Self-Harm
2.27908E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.97E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Fashion
Score:
100
Magnitude:
0.052
Code:
1007000
Url:
https://cv.iptc.org/newscodes/subjectcode/01007000
Wikidata_id:
Q12684
Wikidata_label:
fashion
Source:
IPTC Subject
Topic:
Government Operations
Score:
54.577
Magnitude:
17
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
65.8
Gunning-Fog Score
13.8
Coleman-Liau Index
6.9
SMOG Index
12
Automated Readability Index
8.2
Dale-Chall Readability Score
3.2
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
16
Ben Cardin
Could I ask your assurance that if there are delays put in your path by the Department of Justice or the administration, that would be brought to our attention?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.7
Very Positive
Moderation
Violence > Graphic
0.0532451784
OpenAI Moderation v1 (007)
Harassment
0.0465194025
OpenAI Moderation v1 (007)
Sexual
0.0178859555
OpenAI Moderation v1 (007)
Hate
0.0128059721
OpenAI Moderation v1 (007)
Violence
0.0037534759
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002876037
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001473164
OpenAI Moderation v1 (007)
Self-Harm
1.39694E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.0132E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.8412E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.092E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.05
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Government Operations
Score:
43.98
Magnitude:
69
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
35.004
Magnitude:
69
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
57.8
Gunning-Fog Score
15.7
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Glenn Fine
We will not be shy about raising any concerns with problems or delays that are caused by outside entities.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-2.3979
VADER
-0.342
Somewhat Negative
Moderation
Harassment
0.3909995779
OpenAI Moderation v1 (007)
Hate
0.0065979555
OpenAI Moderation v1 (007)
Violence
0.0045774774
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016203287
OpenAI Moderation v1 (007)
Sexual
0.0005258394
OpenAI Moderation v1 (007)
Sexual > Minors
0.000102978
OpenAI Moderation v1 (007)
Harassment > Threatening
8.12581E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.43259E-5
OpenAI Moderation v1 (007)
Self-Harm
1.6156E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0921E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.544E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
96.767
Magnitude:
29
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
9.7
Coleman-Liau Index
11.2
SMOG Index
9
Automated Readability Index
9.6
Dale-Chall Readability Score
5.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Ben Cardin
I take that as a yes.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Sexual
0.0445797894
OpenAI Moderation v1 (007)
Harassment
0.0058986949
OpenAI Moderation v1 (007)
Violence > Graphic
0.003266742
OpenAI Moderation v1 (007)
Violence
0.0028857339
OpenAI Moderation v1 (007)
Sexual > Minors
0.0022874678
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003336473
OpenAI Moderation v1 (007)
Hate
0.0002701903
OpenAI Moderation v1 (007)
Self-Harm
7.24802E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.5997E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.8495E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4563E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
33.233
Magnitude:
19
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.4
Coleman-Liau Index
0
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Glenn Fine
Yes.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Violence > Graphic
0.3090817248
OpenAI Moderation v1 (007)
Harassment
0.0929183967
OpenAI Moderation v1 (007)
Sexual
0.0618295744
OpenAI Moderation v1 (007)
Violence
0.0501533912
OpenAI Moderation v1 (007)
Hate
0.0239657631
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010492394
OpenAI Moderation v1 (007)
Sexual > Minors
0.000711823
OpenAI Moderation v1 (007)
Hate > Threatening
0.00010553
OpenAI Moderation v1 (007)
Self-Harm
0.0001011373
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.05821E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2705E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
1.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Ben Cardin
I appreciate that. You have indicated that you are concerned about the jurisdiction of the Inspector General. We have also talked about the civil service system. Is there a need or recommendations for change in the civil service system's laws in order to strengthen the probability this will not happen again?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.612
Very Positive
Moderation
Harassment
17.2234714031
OpenAI Moderation v1 (007)
Hate
0.5348915234
OpenAI Moderation v1 (007)
Violence > Graphic
0.5344459787
OpenAI Moderation v1 (007)
Violence
0.1111322548
OpenAI Moderation v1 (007)
Sexual
0.0903790351
OpenAI Moderation v1 (007)
Self-Harm
0.0115222632
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0044488006
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015915295
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000369186
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.53395E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.69622E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.334
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
55
Magnitude:
0.183
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
51.2
Gunning-Fog Score
9
Coleman-Liau Index
12
SMOG Index
10.8
Automated Readability Index
8.4
Dale-Chall Readability Score
4.7
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15
Glenn Fine
I do not think so. I think the laws are there. They need to be enforced. They need to be adhered to. They need to be understood. They need to be managed. I think the problem was not necessarily with the law. The problem was with the application of the law by the people in the Department of Justice, which is very troubling that the Department of Justice would not adhere to the law.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.23077
Slightly Negative
Harvard-IV (Absolute)
-0.23077
Slightly Negative
Harvard-IV (Logit)
-0.43532
VADER
-0.332
Somewhat Negative
Moderation
Violence > Graphic
0.0686460175
OpenAI Moderation v1 (007)
Harassment
0.064193533
OpenAI Moderation v1 (007)
Violence
0.0369429501
OpenAI Moderation v1 (007)
Sexual
0.0089623085
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029672972
OpenAI Moderation v1 (007)
Hate
0.0018965708
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006672221
OpenAI Moderation v1 (007)
Self-Harm
6.71546E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.48401E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.31867E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.0015E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.416
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.876
Magnitude:
51
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
61
Magnitude:
0.253
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.6
Flesch-Kincaid Ease
85.4
Gunning-Fog Score
5.3
Coleman-Liau Index
8.1
SMOG Index
7.8
Automated Readability Index
2.4
Dale-Chall Readability Score
3.4
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
11
Glenn Fine
There is one issue that I do think the Department of Justice needs to clarify and make clear, and that is, when is it appropriate to consider political factors in detailees for positions in leadership offices. Some positions are policymaking, could be filled by political appointees. And if it is a detailee that is being considered, can you use political affiliations? There are others that are clearly not policymaking and should not in any way be considered a political position, for example, ones in the Executive Office for U.S. Attorneys that we have described. That ought to be made clear which positions and which circumstances is it appropriate to consider political affiliations in detailees for positions in the leadership offices. So that is one thing the Department ought to do. We recommended that in our report. They said they are going to do that.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.70805
Harvard-IV (Relative)
0.84615
Very Positive
Harvard-IV (Absolute)
0.84615
Very Positive
Harvard-IV (Logit)
2.28238
VADER
0.902
Very Positive
Moderation
Harassment
0.3081809031
OpenAI Moderation v1 (007)
Hate
0.0320229534
OpenAI Moderation v1 (007)
Violence
0.0149612679
OpenAI Moderation v1 (007)
Violence > Graphic
0.0137014664
OpenAI Moderation v1 (007)
Sexual
0.0023718716
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004471
OpenAI Moderation v1 (007)
Sexual > Minors
8.82536E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.77099E-5
OpenAI Moderation v1 (007)
Self-Harm
7.5767E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.767E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.72E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.348
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.043
Magnitude:
74
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
49.2
Gunning-Fog Score
14.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.7
Dale-Chall Readability Score
5.1
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
40
Sprache Difficult Word Count
29
Ben Cardin
So can we count on your following up to see how they, in fact, respond in doing that? I take it that is still an open issue. It has not been --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.6710922346
OpenAI Moderation v1 (007)
Hate
0.0157332863
OpenAI Moderation v1 (007)
Violence
0.0025229027
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009242453
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003875365
OpenAI Moderation v1 (007)
Sexual
0.0001554698
OpenAI Moderation v1 (007)
Self-Harm
1.76145E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.045E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.9785E-6
OpenAI Moderation v1 (007)
Hate > Threatening
8.634E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.631E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media
Score:
100
Magnitude:
0.082
Code:
1026000
Url:
https://cv.iptc.org/newscodes/subjectcode/01026000
Wikidata_id:
Q11033
Wikidata_label:
mass media
Source:
IPTC Subject
Topic:
Law and Crime
Score:
95.412
Magnitude:
145
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Election
Score:
68
Magnitude:
0.056
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Social Issue
Score:
66
Magnitude:
0.055
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
64
Magnitude:
0.053
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Politics
Score:
62
Magnitude:
0.052
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
61
Magnitude:
0.05
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
2.1
Flesch-Kincaid Ease
98.1
Gunning-Fog Score
5.4
Coleman-Liau Index
4.3
SMOG Index
6.6
Automated Readability Index
0
Dale-Chall Readability Score
2
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Glenn Fine
It has not been done, but, yes, you can count on us to followup and monitor that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.55
Very Positive
Moderation
Harassment
0.4120035563
OpenAI Moderation v1 (007)
Violence
0.0107427593
OpenAI Moderation v1 (007)
Violence > Graphic
0.0097983764
OpenAI Moderation v1 (007)
Hate
0.0092038557
OpenAI Moderation v1 (007)
Sexual
0.0049122864
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020715552
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002190468
OpenAI Moderation v1 (007)
Self-Harm
2.8638E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.12566E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.8108E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.285E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > Periodicals
Score:
100
Magnitude:
0.175
Code:
1026001
Url:
https://cv.iptc.org/newscodes/subjectcode/01026001
Wikidata_id:
Q1002697
Wikidata_label:
periodical
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
85.1
Gunning-Fog Score
11.5
Coleman-Liau Index
5.3
SMOG Index
11.3
Automated Readability Index
4
Dale-Chall Readability Score
3.6
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
2
Ben Cardin
And let me just underscore the point that I think Senator Whitehouse was pursuing. You have a 33-year-old ideologue that was able to rule the day in the Department of Justice in which senior Justice Department officials either did nothing or just refused to take action knowing full well that political considerations were being used. How was that allowed to continue? What was the motivation here? Did your report reflect that? Was this a thought that the White House was directing this to occur and, therefore, leave it alone? Or was it a concern that certain people would infiltrate the Department of Justice that they did not want to see in the Department of Justice? Or was this a reward system for political loyalty? I mean, how was this allowed to continue in an agency that has such a long history of excellence and being nonpartisan and carrying out justice?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
1.03609
VADER
0.984
Very Positive
Moderation
Harassment
0.4000660032
OpenAI Moderation v1 (007)
Violence > Graphic
0.1454753918
OpenAI Moderation v1 (007)
Violence
0.0755279267
OpenAI Moderation v1 (007)
Hate
0.0296782178
OpenAI Moderation v1 (007)
Sexual
0.0186944337
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0180664254
OpenAI Moderation v1 (007)
Self-Harm
0.0009994174
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008776349
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005114963
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002276463
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.68917E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.538
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
76
Magnitude:
0.41
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Government
Score:
73
Magnitude:
0.39
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Politics (General) > Political Systems
Score:
67
Magnitude:
0.361
Code:
11024001
Url:
https://cv.iptc.org/newscodes/subjectcode/11024001
Wikidata_id:
Q28108
Wikidata_label:
political system
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
58.3
Gunning-Fog Score
12.3
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
8.8
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
39
Sprache Difficult Word Count
32
Glenn Fine
I think it was allowed to occur because people were put in very high positions without very much experience and without very much knowledge of the positions.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0
Neutral
Moderation
Harassment
2.5165397674
OpenAI Moderation v1 (007)
Harassment > Threatening
0.4261786584
OpenAI Moderation v1 (007)
Violence
0.4066098016
OpenAI Moderation v1 (007)
Violence > Graphic
0.2053125994
OpenAI Moderation v1 (007)
Hate
0.0210790968
OpenAI Moderation v1 (007)
Sexual
0.0171434178
OpenAI Moderation v1 (007)
Self-Harm
0.0120671612
OpenAI Moderation v1 (007)
Hate > Threatening
0.0041213971
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0029847228
OpenAI Moderation v1 (007)
Sexual > Minors
0.0022142345
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007060365
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
100
Magnitude:
0.1
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.75
Magnitude:
150
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics
Score:
95
Magnitude:
0.094
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue
Score:
90
Magnitude:
0.089
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
81
Magnitude:
0.08
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Science and Technology > Science (General)
Score:
74
Magnitude:
0.074
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
73
Magnitude:
0.073
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
65
Magnitude:
0.064
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Human Interest
Score:
64
Magnitude:
0.063
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
57
Magnitude:
0.056
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.6
Gunning-Fog Score
16.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
Ben Cardin
Put in high positions by whom?
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence
0.0553558697
OpenAI Moderation v1 (007)
Harassment
0.0496818626
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0359546335
OpenAI Moderation v1 (007)
Hate
0.0125134975
OpenAI Moderation v1 (007)
Violence > Graphic
0.0123138219
OpenAI Moderation v1 (007)
Sexual
0.0085564076
OpenAI Moderation v1 (007)
Sexual > Minors
0.0026853353
OpenAI Moderation v1 (007)
Self-Harm
0.0008680739
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004202056
OpenAI Moderation v1 (007)
Hate > Threatening
5.16355E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.24563E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
46.288
Magnitude:
27
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.5
Flesch-Kincaid Ease
87.9
Gunning-Fog Score
9.1
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
0.4
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Glenn Fine
By people in the Department of Justice, by others. And I think that they did not understand the traditions of the Department of Justice. The tradition of the Department of Justice is that it is different, it is special. It is not partisan. And when you come to the Department of Justice, you put that behind you, particularly in career positions, and that you do not try to infuse those kinds of decisions with political considerations, particularly hiring of career people. And the people who came did not understand that, did not appreciate that, and as I stated before, were not monitored and were allowed to run uncontrolled, which was very, very troubling. And then these actions happened, and the people at the top, including Attorney General Gonzales, said he was not aware of it. Well, that is a problem. That is a very significant problem. And I think that it has created damage to the Department of Justice that I believe and hope we will get over, but it is very troubling.
Sentiment
Loughran McDonald (Relative)
-0.71429
Very Negative
Loughran McDonald (Absolute)
-0.71429
Very Negative
Loughran McDonald (Logit)
-1.46634
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.48955
VADER
0.11
Leans Positive
Moderation
Harassment
0.0492869236
OpenAI Moderation v1 (007)
Violence > Graphic
0.0353198266
OpenAI Moderation v1 (007)
Violence
0.0303407578
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0173768174
OpenAI Moderation v1 (007)
Sexual
0.0086588276
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0017903982
OpenAI Moderation v1 (007)
Self-Harm
0.0012222631
OpenAI Moderation v1 (007)
Hate
0.0010936705
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.49487E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.36164E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.21053E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.414
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
72
Magnitude:
0.298
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Government Operations
Score:
24.015
Magnitude:
6
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
58.7
Gunning-Fog Score
11.3
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
8.6
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
41
Sprache Difficult Word Count
30
Ben Cardin
Senator Schumer?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
1.8714025617
OpenAI Moderation v1 (007)
Hate
0.2183609875
OpenAI Moderation v1 (007)
Violence
0.1306312624
OpenAI Moderation v1 (007)
Violence > Graphic
0.0367424713
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0341558363
OpenAI Moderation v1 (007)
Sexual
0.0069169575
OpenAI Moderation v1 (007)
Self-Harm
0.002077534
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001452498
OpenAI Moderation v1 (007)
Hate > Threatening
7.92069E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.26571E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.93514E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.033
Magnitude:
173
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Chuck Schumer
Thank you, Mr. Chairman, and I apologize to the witness. We have a Joint Economic Committee hearing at the same time, but I took a brief break because I wanted to be here. And I want to thank you, Mr. Fine, for staying on top of things and doing your job as IG, which I know requires a degree of independence and a degree of courage, and I think you have shown both. I have a few quick questions.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.924
Very Positive
Moderation
Violence
0.0915077806
OpenAI Moderation v1 (007)
Harassment
0.0365252956
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0323014305
OpenAI Moderation v1 (007)
Violence > Graphic
0.0065224609
OpenAI Moderation v1 (007)
Sexual
0.0033060172
OpenAI Moderation v1 (007)
Hate
0.0013254979
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004512414
OpenAI Moderation v1 (007)
Self-Harm
0.0002087992
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001514744
OpenAI Moderation v1 (007)
Hate > Threatening
6.96907E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.54271E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education > University
Score:
100
Magnitude:
0.084
Code:
5007000
Url:
https://cv.iptc.org/newscodes/subjectcode/05007000
Wikidata_id:
Q3918
Wikidata_label:
university
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
76
Magnitude:
0.064
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Trials
Score:
64
Magnitude:
0.054
Code:
2008000
Url:
https://cv.iptc.org/newscodes/subjectcode/02008000
Wikidata_id:
Q8016240
Wikidata_label:
trial
Source:
IPTC Subject
Topic:
Politics
Score:
64
Magnitude:
0.054
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
84.2
Gunning-Fog Score
6.8
Coleman-Liau Index
6.9
SMOG Index
8.5
Automated Readability Index
3.3
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
19
Chuck Schumer
Although we have long known about the unprecedented political decisionmaking in the Justice Department, the details of this report are a new low. Over a year ago, when I held the first hearing to look into the suspicious firing of several U.S. Attorneys, none of us knew that this Committee's investigation would implicate much of the Department's senior leadership. We heard early on that Monica Goodling might be one of the bad actors. That is why I urged Senator Leahy to add her to the list of witnesses to subpoena, and now we are all rightly appalled by this account of how decisions in the Justice Department were made based on political considerations rather than individual qualifications. And here we have a great civil service. Senator Whitehouse and Senator Cardin know this well, and -- I hope they are not leaving because of my speeches. No, I know we have a vote so go right ahead.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.95551
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.47957
VADER
0.026
Neutral
Moderation
Violence
0.0226238189
OpenAI Moderation v1 (007)
Sexual
0.015823904
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0034112411
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025013347
OpenAI Moderation v1 (007)
Harassment
0.0020650405
OpenAI Moderation v1 (007)
Self-Harm
0.0016563883
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009806648
OpenAI Moderation v1 (007)
Sexual > Minors
0.000861635
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008552746
OpenAI Moderation v1 (007)
Hate
0.0003783387
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.2339E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.25
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
88
Magnitude:
0.22
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
64
Magnitude:
0.159
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Election
Score:
61
Magnitude:
0.152
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
11.3
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
9
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
39
Sprache Difficult Word Count
45
Chuck Schumer
They know this well. But I just find it despicable that senior Justice Department aides broke the law, sullied the reputation of the Department and of thousands and thousands of people through Democratic and Republican administrations alike who just labored and did the right thing, and now may be getting off without punishment because they left the Department even though they resigned in disgrace and at the height of a scandal.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.4
Negative
Harvard-IV (Absolute)
-0.4
Negative
Harvard-IV (Logit)
-0.76214
VADER
-0.706
Very Negative
Moderation
Harassment
0.1053846907
OpenAI Moderation v1 (007)
Violence
0.0560121844
OpenAI Moderation v1 (007)
Sexual > Minors
0.0446870079
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0376436161
OpenAI Moderation v1 (007)
Sexual
0.0268993987
OpenAI Moderation v1 (007)
Violence > Graphic
0.0069120186
OpenAI Moderation v1 (007)
Hate
0.0068962501
OpenAI Moderation v1 (007)
Self-Harm
0.0006934783
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005746589
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002460011
OpenAI Moderation v1 (007)
Hate > Threatening
1.72787E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.416
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.772
Magnitude:
157
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
59
Magnitude:
0.247
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.5
Gunning-Fog Score
17
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20
Chuck Schumer
But these revelations are not just a blow to the Department's reputation, but they also affect our ability to keep the country safe, it seems, because as you report, Ms. Goodling would not let a former U.S. Attorney from Western New York, Mr. Battle, hire his own assistant because she believed that his preferred candidate had not proved himself to the Republican Party.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.788
Very Positive
Moderation
Harassment
0.0990021974
OpenAI Moderation v1 (007)
Violence
0.0400898192
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0234097432
OpenAI Moderation v1 (007)
Sexual
0.0117161078
OpenAI Moderation v1 (007)
Violence > Graphic
0.0116379531
OpenAI Moderation v1 (007)
Self-Harm
0.0045922861
OpenAI Moderation v1 (007)
Hate
0.0043763539
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011160292
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005125872
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.76439E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.46919E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.795
Magnitude:
71
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.7
Flesch-Kincaid Ease
63
Gunning-Fog Score
8.9
Coleman-Liau Index
11.5
SMOG Index
10.5
Automated Readability Index
6.8
Dale-Chall Readability Score
4.8
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20
Chuck Schumer
Another qualified New York candidate, a winner of the Attorney General's award for exceptional service, was rejected for a top Justice Department counterterrorism position because of his wife's Democratic political affiliation. Because of this, a vital counterterrorism position was filled by a person at the Department with no experience.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.791
Very Positive
Moderation
Sexual
0.0401599886
OpenAI Moderation v1 (007)
Violence
0.0012632485
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003624585
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003173131
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002183717
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001800547
OpenAI Moderation v1 (007)
Harassment
0.0001656641
OpenAI Moderation v1 (007)
Self-Harm
0.0001542245
OpenAI Moderation v1 (007)
Hate
2.29028E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.696E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.9913E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election > Political Candidates
Score:
100
Magnitude:
0.26
Code:
11003001
Url:
https://cv.iptc.org/newscodes/subjectcode/11003001
Wikidata_id:
Q19772737
Wikidata_label:
political candidate
Source:
IPTC Subject
Topic:
Law and Crime
Score:
93.077
Magnitude:
64
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Justice and Rights
Score:
73
Magnitude:
0.19
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Social Issue > Family
Score:
66
Magnitude:
0.171
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Topic:
Human Interest > Award and Prize
Score:
65
Magnitude:
0.169
Code:
8006000
Url:
https://cv.iptc.org/newscodes/subjectcode/08006000
Wikidata_id:
Q618779
Wikidata_label:
award
Source:
IPTC Subject
Topic:
Politics > Election
Score:
51
Magnitude:
0.132
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
4.1
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
21
Chuck Schumer
So this is not just politics. This is our own safety. When you have less qualified people -- if we had politics and equally qualified people, it would be one thing. But you have less qualified people trumping more qualified people because of their political affiliation, and that hurts every one of us in terms of safety and security and the jobs of the Justice Department.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.21888
VADER
0.807
Very Positive
Moderation
Sexual
0.0219411726
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054897231
OpenAI Moderation v1 (007)
Harassment
0.0041826253
OpenAI Moderation v1 (007)
Violence
0.0036638703
OpenAI Moderation v1 (007)
Self-Harm
0.0018538094
OpenAI Moderation v1 (007)
Hate
0.0018276001
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.001001396
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008585402
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005593538
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001784295
OpenAI Moderation v1 (007)
Hate > Threatening
2.74428E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.155
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.6
Magnitude:
49
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
82
Magnitude:
0.127
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
72
Magnitude:
0.112
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
55
Gunning-Fog Score
14.5
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
8.4
Dale-Chall Readability Score
4.7
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
12
Chuck Schumer
And so most members of the Department, for instance, believe that that person in counterterrorism was undeniably unqualified, but they met Ms. Goodling's ideological test. That is beyond disgraceful, in my view.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.60944
VADER
0
Neutral
Moderation
Violence
0.0156238108
OpenAI Moderation v1 (007)
Harassment
0.0062866959
OpenAI Moderation v1 (007)
Hate
0.0048407877
OpenAI Moderation v1 (007)
Sexual
0.0031505366
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010864021
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009195874
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007012266
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004724356
OpenAI Moderation v1 (007)
Self-Harm
1.26556E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.23671E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.7251E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
29.703
Magnitude:
66
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
23.468
Magnitude:
66
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.3
Flesch-Kincaid Ease
40
Gunning-Fog Score
10.5
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
9.2
Dale-Chall Readability Score
5.5
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12
Chuck Schumer
One of the most shocking conclusions in your report is that someone like Monica Goodling who politicized the appointment of Assistant U.S. Attorneys, immigration judges, and even counterterrorism positions, may not face any real consequences for her actions simply because she already left the Department. Under current law, even though these people broke Federal civil service laws and trampled on the Department's own standards, they need only change jobs to escape real accountability. It could be that someone could leave while you are doing the investigation or even the day before you issue your report and escape any punishment whatsoever.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
-0.644
Very Negative
Moderation
Violence
0.016018952
OpenAI Moderation v1 (007)
Hate
0.010341889
OpenAI Moderation v1 (007)
Sexual
0.0065752625
OpenAI Moderation v1 (007)
Harassment
0.003115226
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017438648
OpenAI Moderation v1 (007)
Hate > Threatening
0.0014622039
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012878735
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009358912
OpenAI Moderation v1 (007)
Self-Harm
6.07039E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.29942E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7996E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.154
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
98
Magnitude:
0.15
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
40.344
Magnitude:
32
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Defense
Score:
26.938
Magnitude:
32
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.7
Gunning-Fog Score
14.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
33
Chuck Schumer
So let me ask you this, Mr. Fine: Should such blatant politicization and illegal activity be subject to some criminal punishment so there would be ultimately accountability? In your view, would a criminal penalty -- say a misdemeanor -- help prevent such behavior in the future, work as a more effective deterrent, and provide better accountability? I am sure it sticks in many people's craws that these were horrible things that were done and because simply you resign from the Department you escape any punishment.
Sentiment
Loughran McDonald (Relative)
-0.69231
Very Negative
Loughran McDonald (Absolute)
-0.69231
Very Negative
Loughran McDonald (Logit)
-1.52606
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.65393
VADER
-0.933
Very Negative
Moderation
Violence > Graphic
0.0614213757
OpenAI Moderation v1 (007)
Violence
0.0269752403
OpenAI Moderation v1 (007)
Harassment
0.018679697
OpenAI Moderation v1 (007)
Sexual
0.0032590069
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013436815
OpenAI Moderation v1 (007)
Hate
0.0004162689
OpenAI Moderation v1 (007)
Self-Harm
0.0003315005
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001371148
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.05965E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.11572E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6232E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Punishment
Score:
100
Magnitude:
0.167
Code:
2004000
Url:
https://cv.iptc.org/newscodes/subjectcode/02004000
Wikidata_id:
Q186361
Wikidata_label:
punishment
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.675
Magnitude:
101
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
26
Glenn Fine
Well, let me talk a little about the premise of the question, and then I will get to whether the law should be changed, my view on that.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
0.273
Slightly Positive
Moderation
Violence > Graphic
0.1875384711
OpenAI Moderation v1 (007)
Violence
0.0675210962
OpenAI Moderation v1 (007)
Harassment
0.0195769884
OpenAI Moderation v1 (007)
Hate
0.0032714714
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021300195
OpenAI Moderation v1 (007)
Sexual
0.0005283527
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.20417E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.38448E-5
OpenAI Moderation v1 (007)
Self-Harm
4.5471E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.97173E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.5481E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.235
Magnitude:
85
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
78.7
Gunning-Fog Score
11.2
Coleman-Liau Index
6.3
SMOG Index
3.3
Automated Readability Index
10.2
Dale-Chall Readability Score
3.1
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
6
Glenn Fine
I am not sure it is true to say that she escaped any accountability, any punishment. As I discussed with Senator Whitehouse earlier, people did leave the Department so they cannot be disciplined by the Department, but we have recommended that they never get a job with the Department again, hopefully never with the Federal Government again, that they consider this report if they ever do apply.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.644
Very Positive
Moderation
Violence
0.0038724313
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031625834
OpenAI Moderation v1 (007)
Harassment
0.0030638112
OpenAI Moderation v1 (007)
Hate
0.001731755
OpenAI Moderation v1 (007)
Sexual
0.0014114795
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007355717
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005319637
OpenAI Moderation v1 (007)
Harassment > Threatening
7.31617E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2561E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1285E-6
OpenAI Moderation v1 (007)
Self-Harm
9.75E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.106
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Government Operations
Score:
79.623
Magnitude:
28
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Punishment
Score:
64
Magnitude:
0.068
Code:
2004000
Url:
https://cv.iptc.org/newscodes/subjectcode/02004000
Wikidata_id:
Q186361
Wikidata_label:
punishment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.7
Gunning-Fog Score
17.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
Glenn Fine
They have been exposed. Their conduct has been exposed in a transparent way for all to see. And then there may be -- I am not saying there is, but there may be appropriate bar sanctions possibly for attorneys who have committed misconduct and may have violated a bar rule. And so the bar may look into that. There is no criminal punishment that we see for this conduct.
Sentiment
Loughran McDonald (Relative)
-0.8
Very Negative
Loughran McDonald (Absolute)
-0.8
Very Negative
Loughran McDonald (Logit)
-1.84583
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.22378
VADER
-0.943
Very Negative
Moderation
Harassment
0.0571355456
OpenAI Moderation v1 (007)
Violence > Graphic
0.0202135809
OpenAI Moderation v1 (007)
Violence
0.0173648747
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0109058608
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0019737779
OpenAI Moderation v1 (007)
Hate
0.0006497261
OpenAI Moderation v1 (007)
Self-Harm
0.000541859
OpenAI Moderation v1 (007)
Sexual
0.0004733927
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002935516
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002028586
OpenAI Moderation v1 (007)
Hate > Threatening
8.2566E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Religion and Belief > Values > Corrupt Practices
Score:
100
Magnitude:
0.092
Code:
12006002
Url:
https://cv.iptc.org/newscodes/subjectcode/12006002
Wikidata_id:
Q5173053
Wikidata_label:
Corrupt practices
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.888
Magnitude:
67
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Punishment
Score:
89
Magnitude:
0.082
Code:
2004000
Url:
https://cv.iptc.org/newscodes/subjectcode/02004000
Wikidata_id:
Q186361
Wikidata_label:
punishment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
71.1
Gunning-Fog Score
12.5
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
5.7
Dale-Chall Readability Score
4.2
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
14
Glenn Fine
Now, should there be criminal punishment? I am not sure. To criminalize violations of civil service law might expose a lot of people to potential misdemeanors in circumstances not like that. So I would have to think more carefully about that. But my initial reaction is we have civil law and criminal law, and there ought to be that separation.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.70805
Harvard-IV (Relative)
-0.27273
Slightly Negative
Harvard-IV (Absolute)
-0.27273
Slightly Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.933
Very Negative
Moderation
Violence > Graphic
0.0032568474
OpenAI Moderation v1 (007)
Violence
0.0027695996
OpenAI Moderation v1 (007)
Sexual
0.0027117696
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012882052
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008191791
OpenAI Moderation v1 (007)
Harassment
0.0006188886
OpenAI Moderation v1 (007)
Hate
0.0001235741
OpenAI Moderation v1 (007)
Self-Harm
7.78649E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.63427E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.33685E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.422E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.331
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.966
Magnitude:
69
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.4
Flesch-Kincaid Ease
63.5
Gunning-Fog Score
12.1
Coleman-Liau Index
11.5
SMOG Index
11.7
Automated Readability Index
6.4
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Glenn Fine
But I recognize the concern about accountability, and I believe that the comments that I made about the premise will --
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0
Neutral
Moderation
Sexual
0.0501044386
OpenAI Moderation v1 (007)
Violence
0.0112357564
OpenAI Moderation v1 (007)
Harassment
0.004852916
OpenAI Moderation v1 (007)
Self-Harm
0.0015265803
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008407592
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006971684
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006759052
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004016945
OpenAI Moderation v1 (007)
Hate
9.39597E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.63537E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.3419E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.133
Magnitude:
60
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
46.9
Gunning-Fog Score
12
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
11.2
Dale-Chall Readability Score
4.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Chuck Schumer
And, you know, even aside from discretion, in other words, a minor violation without real intent, different than this, might not be prosecuted. I am sure there is a way to draft the law to make it a misdemeanor if it was repeatedly done. I mean, there are ways to set standards so not every civil service violation would be a misdemeanor, don't you think?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.56495
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
-0.562
Very Negative
Moderation
Sexual
0.024889817
OpenAI Moderation v1 (007)
Violence
0.0069656482
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034975423
OpenAI Moderation v1 (007)
Harassment
0.0032719989
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012504976
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004730854
OpenAI Moderation v1 (007)
Self-Harm
0.0001727315
OpenAI Moderation v1 (007)
Hate
6.5434E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.47396E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.53665E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.52019E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.094
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime
Score:
99
Magnitude:
0.093
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Law and Crime
Score:
95.797
Magnitude:
21
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Crime > Sexual Assault
Score:
77
Magnitude:
0.072
Code:
2001005
Url:
https://cv.iptc.org/newscodes/subjectcode/02001005
Wikidata_id:
Q673281
Wikidata_label:
sexual assault
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
56
Gunning-Fog Score
14.2
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
4
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Glenn Fine
Yes, but when you draft it that way, I think you can sweep in conduct that you may not want to have criminalized. There are a lot of difficult issues in the civil service law. This one I do not think was a difficult issue. But you make a statute to cover the civil service law.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
-0.22
Slightly Negative
Moderation
Harassment
0.0041341271
OpenAI Moderation v1 (007)
Sexual
0.0025832476
OpenAI Moderation v1 (007)
Violence
0.0009172803
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005796799
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001465544
OpenAI Moderation v1 (007)
Sexual > Minors
1.8024E-5
OpenAI Moderation v1 (007)
Hate
1.7157E-5
OpenAI Moderation v1 (007)
Self-Harm
1.08925E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.6756E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.8776E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3491E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.387
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.188
Magnitude:
65
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
83.9
Gunning-Fog Score
7.7
Coleman-Liau Index
6.9
SMOG Index
8.2
Automated Readability Index
3.7
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Chuck Schumer
It is something I am exploring, and I would like to continue the dialog with you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.361
Somewhat Positive
Moderation
Violence > Graphic
0.0475985609
OpenAI Moderation v1 (007)
Violence
0.0469079998
OpenAI Moderation v1 (007)
Sexual
0.0157681599
OpenAI Moderation v1 (007)
Sexual > Minors
0.0130095184
OpenAI Moderation v1 (007)
Harassment
0.0105584404
OpenAI Moderation v1 (007)
Hate
0.0060617283
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0054719891
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004008511
OpenAI Moderation v1 (007)
Self-Harm
0.0002772043
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001491548
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001281622
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.932
Magnitude:
56
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
63.7
Gunning-Fog Score
16.4
Coleman-Liau Index
7.7
SMOG Index
12
Automated Readability Index
5.4
Dale-Chall Readability Score
3.8
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
2
Glenn Fine
Certainly.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.34
Somewhat Positive
Moderation
Sexual
0.0597248552
OpenAI Moderation v1 (007)
Violence
0.0263750291
OpenAI Moderation v1 (007)
Hate
0.0137007999
OpenAI Moderation v1 (007)
Harassment
0.0080812744
OpenAI Moderation v1 (007)
Sexual > Minors
0.0067675377
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019848769
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008435404
OpenAI Moderation v1 (007)
Self-Harm
0.000135708
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001097812
OpenAI Moderation v1 (007)
Hate > Threatening
6.22188E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.80309E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.4
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
0
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Chuck Schumer
OK. One other -- did we start our vote?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.447
Positive
Moderation
Violence
0.0081722392
OpenAI Moderation v1 (007)
Violence > Graphic
0.0061768238
OpenAI Moderation v1 (007)
Sexual
0.0037293281
OpenAI Moderation v1 (007)
Harassment
0.0026570313
OpenAI Moderation v1 (007)
Sexual > Minors
0.000581629
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005757286
OpenAI Moderation v1 (007)
Self-Harm
0.0004310308
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003548457
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000349349
OpenAI Moderation v1 (007)
Hate
0.0003161421
OpenAI Moderation v1 (007)
Hate > Threatening
3.11287E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.472
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Politics > Election > State Elections
Score:
66
Magnitude:
0.314
Code:
11003005
Url:
https://cv.iptc.org/newscodes/subjectcode/11003005
Wikidata_id:
Q15966540
Wikidata_label:
local election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
4
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.2
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Sheldon Whitehouse
[Presiding.] We have not started the vote.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0513808802
OpenAI Moderation v1 (007)
Violence > Graphic
0.0052007636
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0037264737
OpenAI Moderation v1 (007)
Harassment
0.002883954
OpenAI Moderation v1 (007)
Hate
0.0017078231
OpenAI Moderation v1 (007)
Sexual
0.0013569387
OpenAI Moderation v1 (007)
Self-Harm
0.0010106687
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002263513
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001759385
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001471566
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.4848E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.5
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.4
Coleman-Liau Index
6.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Chuck Schumer
We have not started the vote. OK, good. So this is about burrowing. As you may know already, Senator Feinstein and I wrote a letter to the Attorney General last week, and this is before your report came out. In the letter we asked the Attorney General to investigate instances of burrowing in the Department where political appointees are then given career positions and continue to assert influence during a future administration, even though that candidate may not be the most qualified.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.94444
VADER
0.703
Very Positive
Moderation
Violence > Graphic
0.0079820762
OpenAI Moderation v1 (007)
Violence
0.0042680709
OpenAI Moderation v1 (007)
Sexual
0.0018444385
OpenAI Moderation v1 (007)
Harassment
0.0013931422
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009819113
OpenAI Moderation v1 (007)
Hate
0.0006258937
OpenAI Moderation v1 (007)
Self-Harm
0.0005507554
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004797423
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003216182
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.9219E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.4489E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.201
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
57
Magnitude:
0.114
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
48.8
Gunning-Fog Score
12.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
25
Chuck Schumer
Now, our letter was based on a report by the GAO that found the Department was engaged in improper hiring procedures, like refusing to award our war veterans consideration they deserve and are legally due. So we are acting -- that is, Senator Feinstein and I -- proactively to ensure that career positions in the Federal Government are filled by the best individuals available and in accordance with Federal law.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.625
Very Positive
Harvard-IV (Absolute)
0.625
Very Positive
Harvard-IV (Logit)
1.34993
VADER
0.852
Very Positive
Moderation
Harassment
2.5400871411
OpenAI Moderation v1 (007)
Violence
0.2159953816
OpenAI Moderation v1 (007)
Harassment > Threatening
0.2061383333
OpenAI Moderation v1 (007)
Hate
0.0992429676
OpenAI Moderation v1 (007)
Violence > Graphic
0.0492780411
OpenAI Moderation v1 (007)
Sexual
0.0246659562
OpenAI Moderation v1 (007)
Self-Harm
0.0082991093
OpenAI Moderation v1 (007)
Hate > Threatening
0.0026240919
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0018961278
OpenAI Moderation v1 (007)
Sexual > Minors
0.000795701
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.29547E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > War
Score:
100
Magnitude:
0.164
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.442
Magnitude:
82
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
97
Magnitude:
0.159
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Government
Score:
91
Magnitude:
0.149
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
80
Magnitude:
0.132
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
80
Magnitude:
0.132
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
64
Magnitude:
0.104
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
26.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
29
Chuck Schumer
Did you find any overlap between the GAO findings and the particular instances of politicization in hiring that you have been investigating?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Sexual
0.1173115219
OpenAI Moderation v1 (007)
Violence
0.0068951456
OpenAI Moderation v1 (007)
Violence > Graphic
0.0067646353
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0065964967
OpenAI Moderation v1 (007)
Self-Harm
0.0037290687
OpenAI Moderation v1 (007)
Harassment
0.0035837576
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0034977493
OpenAI Moderation v1 (007)
Hate
0.000638108
OpenAI Moderation v1 (007)
Sexual > Minors
0.000594927
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005658047
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002525383
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
93.702
Magnitude:
70
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
Glenn Fine
Well, we did not look at that issue of burrowing, but I think sort of the same principles apply and the same concerns apply; that is, if you are using any considerations other than a fair and open competition and merit-based, based upon the skills, knowledge, and ability of someone, then there can be those kinds of problems.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.38462
Somewhat Positive
Harvard-IV (Absolute)
0.38462
Somewhat Positive
Harvard-IV (Logit)
0.74721
VADER
0.44
Positive
Moderation
Violence
0.4199403338
OpenAI Moderation v1 (007)
Harassment
0.0227639248
OpenAI Moderation v1 (007)
Violence > Graphic
0.0181182288
OpenAI Moderation v1 (007)
Sexual
0.0136220915
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036061476
OpenAI Moderation v1 (007)
Hate
0.0009616651
OpenAI Moderation v1 (007)
Self-Harm
0.0001334963
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001134356
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001018803
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.95962E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.48044E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
89.674
Magnitude:
22
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
19.3
Gunning-Fog Score
19
Coleman-Liau Index
10.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
15
Glenn Fine
I do know that the GAO is opening a review of this and has done reviews in the past. So I think that is important to maintain transparency and scrutiny on that subject, and I think that is an important issue.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.382
Somewhat Positive
Moderation
Violence
0.1670765341
OpenAI Moderation v1 (007)
Sexual
0.1614507986
OpenAI Moderation v1 (007)
Hate
0.0074910633
OpenAI Moderation v1 (007)
Harassment
0.0067746216
OpenAI Moderation v1 (007)
Violence > Graphic
0.0060047769
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0055420918
OpenAI Moderation v1 (007)
Sexual > Minors
0.0051050916
OpenAI Moderation v1 (007)
Hate > Threatening
0.0017421044
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005029846
OpenAI Moderation v1 (007)
Self-Harm
0.0001061072
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.67889E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
25.098
Magnitude:
58
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.8
Flesch-Kincaid Ease
68.4
Gunning-Fog Score
13.1
Coleman-Liau Index
7.9
SMOG Index
12
Automated Readability Index
7.8
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Chuck Schumer
Thank you. My time has expired.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.6649032235
OpenAI Moderation v1 (007)
Violence
0.5368220154
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0303920271
OpenAI Moderation v1 (007)
Hate
0.0205633929
OpenAI Moderation v1 (007)
Violence > Graphic
0.0062345818
OpenAI Moderation v1 (007)
Sexual
0.0036194946
OpenAI Moderation v1 (007)
Self-Harm
0.0009648077
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004024618
OpenAI Moderation v1 (007)
Hate > Threatening
0.000315499
OpenAI Moderation v1 (007)
Sexual > Minors
8.39099E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.99895E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
89.109
Magnitude:
41
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Chuck Schumer
Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.1207376015
OpenAI Moderation v1 (007)
Harassment
0.0297254795
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0246845884
OpenAI Moderation v1 (007)
Violence > Graphic
0.0090796071
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0038517035
OpenAI Moderation v1 (007)
Sexual
0.0027969596
OpenAI Moderation v1 (007)
Hate
0.0026562286
OpenAI Moderation v1 (007)
Self-Harm
0.0025064039
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0020259013
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005057889
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001975865
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Sheldon Whitehouse
Thank you, Senator Schumer.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.06638536
OpenAI Moderation v1 (007)
Violence
0.0341062609
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0149828251
OpenAI Moderation v1 (007)
Violence > Graphic
0.0134671223
OpenAI Moderation v1 (007)
Sexual
0.0132088069
OpenAI Moderation v1 (007)
Sexual > Minors
0.0066159948
OpenAI Moderation v1 (007)
Hate
0.0013414754
OpenAI Moderation v1 (007)
Self-Harm
0.0004366522
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.84934E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.66942E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.3444E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
1.6
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
6.5
Dale-Chall Readability Score
8.1
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Sheldon Whitehouse
Just to followup on the discussion with Senator Schumer and with respect to the consequences of these violations of Federal law, first of all, can you identify what bar rules might have been broken. I did not see -- this is an OIG/OPR joint report, correct?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.527
Very Negative
Moderation
Harassment
0.0684632803
OpenAI Moderation v1 (007)
Violence > Graphic
0.0309106545
OpenAI Moderation v1 (007)
Violence
0.0269097916
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0078086683
OpenAI Moderation v1 (007)
Hate
0.0023733422
OpenAI Moderation v1 (007)
Sexual
0.0006905349
OpenAI Moderation v1 (007)
Self-Harm
0.0004739605
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003137237
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001034721
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.27649E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.2786E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.055
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
56.6
Gunning-Fog Score
13.5
Coleman-Liau Index
10.3
SMOG Index
12
Automated Readability Index
11
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
16
Glenn Fine
Right.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence > Graphic
0.0270127901
OpenAI Moderation v1 (007)
Violence
0.0074300362
OpenAI Moderation v1 (007)
Harassment
0.0061085113
OpenAI Moderation v1 (007)
Sexual
0.001421744
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009251308
OpenAI Moderation v1 (007)
Hate
0.0007479436
OpenAI Moderation v1 (007)
Self-Harm
0.0001842395
OpenAI Moderation v1 (007)
Sexual > Minors
2.14957E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.35234E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.0555E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.4151E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
95.945
Magnitude:
47
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
2.6
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Sheldon Whitehouse
I did not see OPR making any referral to disciplinary counsel as a result. So I am a little confused about what disciplinary consequences lawyers might face for their role in the administrative process of hiring, and if you are confident that there might be those processes, why the OPR side of this did not make any referral to local disciplinary counsel?
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.219
Slightly Positive
Moderation
Harassment
0.1391037251
OpenAI Moderation v1 (007)
Violence
0.0619192433
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0291194534
OpenAI Moderation v1 (007)
Violence > Graphic
0.0133051944
OpenAI Moderation v1 (007)
Hate
0.0118819131
OpenAI Moderation v1 (007)
Sexual
0.0067241745
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032767544
OpenAI Moderation v1 (007)
Self-Harm
0.0025327359
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005927144
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005404233
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001815355
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.084
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.5
Gunning-Fog Score
18.9
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
16
Glenn Fine
My understanding is -- and I had discussions with OPR about this -- that OPR intends to, and we will participate in a notification of the bars of individuals who are found to have committed misconduct, for them review the conduct. Now, I do not believe OPR has done a lengthy review of this and say which exact rule, but it does intend to, and I think it is appropriate to notify the bars of the individuals who were involved. In fact, I think some of them have already been notified. I have read that individuals have provided our reports to various bars for the bar to look at.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
0.28571
Slightly Positive
Harvard-IV (Absolute)
0.28571
Slightly Positive
Harvard-IV (Logit)
0.54654
VADER
0.141
Leans Positive
Moderation
Sexual
0.0234943989
OpenAI Moderation v1 (007)
Violence
0.0086851658
OpenAI Moderation v1 (007)
Hate
0.0035750872
OpenAI Moderation v1 (007)
Harassment
0.003136908
OpenAI Moderation v1 (007)
Violence > Graphic
0.0030277737
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015368347
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007199788
OpenAI Moderation v1 (007)
Self-Harm
0.0001161477
OpenAI Moderation v1 (007)
Hate > Threatening
9.64808E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.94998E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.84842E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.882
Magnitude:
62
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
53.2
Gunning-Fog Score
16.3
Coleman-Liau Index
9.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
20
Glenn Fine
In terms of the rules, I am not an expert in the area of potentially Rule 8.4, which talks about the administration of justice and acts going to the fitness of an attorney to practice law. I am not saying that necessarily does apply, but I think there are things that ought to be reviewed and looked at, and the experts in this area ought to do that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.412
Positive
Moderation
Violence > Graphic
0.1073641819
OpenAI Moderation v1 (007)
Sexual
0.0350008544
OpenAI Moderation v1 (007)
Violence
0.0295232254
OpenAI Moderation v1 (007)
Harassment
0.0199287606
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0100769917
OpenAI Moderation v1 (007)
Hate
0.0053952557
OpenAI Moderation v1 (007)
Self-Harm
0.0016188769
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010837168
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006014537
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000251204
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001809411
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.14
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.164
Magnitude:
109
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
97
Magnitude:
0.136
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Health > Physical Fitness
Score:
89
Magnitude:
0.124
Code:
7016000
Url:
https://cv.iptc.org/newscodes/subjectcode/07016000
Wikidata_id:
Q309252
Wikidata_label:
physical fitness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
57.9
Gunning-Fog Score
16.5
Coleman-Liau Index
7.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Sheldon Whitehouse
OK. And following up on my discussion with you and Senator Schumer's discussion with you about not only consequences but also, I guess, deterrent effect or motivations, if you are not enthusiastic about any criminal penalty, even at the misdemeanor level, for a deliberate violation of the civil service hiring laws, would you think that it might make sense to strip from individuals hired pursuant to a deliberately flawed process the protection of those civil service laws until they had gone through a legitimate process? It strikes me that if something like that were set up -- you know, this is not done just for fun. This is not done just because somebody has an idle hour. This is done in order to achieve political ends. And the end is to put certain people with certain ideology in certain positions. And if the folks who are going about doing that were understood that by virtue of distorting and compromising the civil service hiring process, they are actually denying the folks that they would be planting in the civil service positions the benefit of civil service protection, it would seem to me that it would operate as a counterincentive to these sorts of attempts to subvert the civil service system. Would you --
Sentiment
Loughran McDonald (Relative)
-0.25
Slightly Negative
Loughran McDonald (Absolute)
-0.25
Slightly Negative
Loughran McDonald (Logit)
-0.47957
Harvard-IV (Relative)
0.34783
Somewhat Positive
Harvard-IV (Absolute)
0.34783
Somewhat Positive
Harvard-IV (Logit)
0.70915
VADER
-0.572
Very Negative
Moderation
Sexual
0.021526507
OpenAI Moderation v1 (007)
Harassment
0.004180193
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007195705
OpenAI Moderation v1 (007)
Violence
0.0006827634
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005206736
OpenAI Moderation v1 (007)
Self-Harm
0.0002094394
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001750273
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001136744
OpenAI Moderation v1 (007)
Hate
4.60331E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.13355E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.0975E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.484
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
87.127
Magnitude:
67
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Crime
Score:
61
Magnitude:
0.298
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Politics > Government
Score:
51
Magnitude:
0.247
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.6
Gunning-Fog Score
16.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
56
Sprache Difficult Word Count
55
Glenn Fine
I would have to think more about that. That is an interesting proposition.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.402
Positive
Moderation
Sexual
0.049509661
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020263633
OpenAI Moderation v1 (007)
Violence
0.0020053571
OpenAI Moderation v1 (007)
Harassment
0.0017350147
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011883416
OpenAI Moderation v1 (007)
Self-Harm
0.0005975101
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003009979
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002472293
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001767833
OpenAI Moderation v1 (007)
Hate
0.0001408618
OpenAI Moderation v1 (007)
Hate > Threatening
1.7963E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.141
Magnitude:
212
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.1
Flesch-Kincaid Ease
70.1
Gunning-Fog Score
8.8
Coleman-Liau Index
11.3
SMOG Index
9
Automated Readability Index
3.6
Dale-Chall Readability Score
1.5
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Sheldon Whitehouse
Take the prize out of the game, basically.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.511
Very Positive
Moderation
Violence
0.0820054731
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031767511
OpenAI Moderation v1 (007)
Sexual
0.0021970161
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014579974
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006479608
OpenAI Moderation v1 (007)
Harassment
0.000450406
OpenAI Moderation v1 (007)
Hate
0.0003434599
OpenAI Moderation v1 (007)
Self-Harm
6.05967E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.1758E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.8237E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.6E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Entertainment (General) > Entertainment Award
Score:
100
Magnitude:
0.275
Code:
1021001
Url:
https://cv.iptc.org/newscodes/subjectcode/01021001
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.8
Flesch-Kincaid Ease
82.4
Gunning-Fog Score
8.2
Coleman-Liau Index
8.5
SMOG Index
9
Automated Readability Index
2
Dale-Chall Readability Score
2.4
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Glenn Fine
Yes. I am not sure I am ready to answer that question off the cuff. It is an interesting proposition. I would say that I am not sure that all of the individuals who were selected knew about the improper procedure that was used. Maybe some of them did. I am not sure all of them did.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.425
Positive
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
79.9
Gunning-Fog Score
8
Coleman-Liau Index
6.9
SMOG Index
9
Automated Readability Index
1.5
Dale-Chall Readability Score
1.9
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
9
Sheldon Whitehouse
And to a certain extent, it would be their bad fortune to have been on the losing end of this. But from a structural point of view, it would take away the incentive, the prize, if you will, of the game for those who are manipulating or compromising the civil service process to political ends.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.178
Leans Negative
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.111
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
84
Magnitude:
0.093
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Human Interest > Award and Prize
Score:
68
Magnitude:
0.076
Code:
8006000
Url:
https://cv.iptc.org/newscodes/subjectcode/08006000
Wikidata_id:
Q618779
Wikidata_label:
award
Source:
IPTC Subject
Topic:
Lifestyle and Leisure > Game
Score:
57
Magnitude:
0.064
Code:
10001000
Url:
https://cv.iptc.org/newscodes/subjectcode/10001000
Wikidata_id:
Q11410
Wikidata_label:
game
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
57
Magnitude:
0.063
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Sport > Tennis
Score:
55
Magnitude:
0.06
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Topic:
Social Issue
Score:
53
Magnitude:
0.058
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Law and Crime
Score:
44.512
Magnitude:
57
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
60.5
Gunning-Fog Score
14.6
Coleman-Liau Index
9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12
Glenn Fine
That is one way to do it. I would hope that the Department would do it directly and to prevent the people from actually doing this so we do not have to get to this, the fact review, but I understand your point.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.25
Slightly Positive
Topics
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
100
Magnitude:
0.067
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Politics
Score:
94
Magnitude:
0.063
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue
Score:
91
Magnitude:
0.061
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Law and Crime
Score:
86.94
Magnitude:
55
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Science and Technology > Science (General)
Score:
81
Magnitude:
0.054
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
78
Magnitude:
0.053
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
76.8
Gunning-Fog Score
11.4
Coleman-Liau Index
6.7
SMOG Index
11.3
Automated Readability Index
7.3
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
8
Sheldon Whitehouse
The last question that I have has to do with -- you indicated on a number of occasions in this report that people gave statements to you in the course of their interviews that you described as "inaccurate," and in some cases described rather pointedly as "inaccurate," and in what looked to me to be circumstances in which it was a little hard to believe that it was an innocent mistake. And my question to you is: Are the interviews that you conduct within the ambit of 18 U.S.C. 1001, the False Statements Act? And do you have a process for evaluating whether inaccurate statements provided to you in these interviewed amount to a false statement under that Act? And what is that process for such inaccurate statements? How do you get from you just saying it is inaccurate in the report to a referral of some kind for some prosecuting official to look at whether that criminal law was violated?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-3.29584
Harvard-IV (Relative)
-0.23077
Slightly Negative
Harvard-IV (Absolute)
-0.23077
Slightly Negative
Harvard-IV (Logit)
-0.43532
VADER
-0.822
Very Negative
Topics
Topic:
Crime, Law and Justice > Crime
Score:
100
Magnitude:
0.407
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Government Operations
Score:
65.383
Magnitude:
43
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
22.583
Magnitude:
43
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
59.9
Gunning-Fog Score
13
Coleman-Liau Index
10.1
SMOG Index
12
Automated Readability Index
9.4
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
36
Sprache Difficult Word Count
30
Glenn Fine
Well, they are within the ambit of Section 1001; a false statement to an OIG investigator is covered by that statute. And we do analyze that. We analyze whether the evidence is sufficient to prove beyond a reasonable doubt that the statement both was inaccurate, the very specifics of the statement -- and you, being a former U.S. Attorney, know the difficulty. You have to be very precise about what the question is and what the answer is, and it has to be inaccurate and false in all respects. And then we go to the intent of the person, whether it was a mistake or whether they knew it was inaccurate and we can prove that beyond a reasonable doubt.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-3.21888
Harvard-IV (Relative)
-0.07692
Neutral
Harvard-IV (Absolute)
-0.07692
Neutral
Harvard-IV (Logit)
-0.1431
VADER
-0.66
Very Negative
Topics
Topic:
Law and Crime
Score:
97.039
Magnitude:
161
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9
Flesch-Kincaid Ease
61.1
Gunning-Fog Score
11.2
Coleman-Liau Index
9.4
SMOG Index
11
Automated Readability Index
7.3
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
27
Glenn Fine
So the same processes that an Assistant United States Attorney would use -- and we do have Assistant United States Attorneys, very experienced ones, on our staff who have done this over their careers, do that analysis.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.681
Very Positive
Topics
Topic:
Law and Crime
Score:
97.25
Magnitude:
120
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.3
Gunning-Fog Score
16.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
9
Sheldon Whitehouse
So is it safe, then, to conclude from the report limiting itself to only describing these statements as inaccurate and not making any further referral or not discussing any further whether the statements might merit prosecution, that you did, in fact, look at that and that the conclusion that you drew was that these statements, however inaccurate, did not amount to what an Assistant U.S. Attorney preparing a charge would consider adequate to bring that charge under 18 U.S.C. 1001?
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.58779
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.571
Very Positive
Topics
Topic:
Law and Crime
Score:
97.568
Magnitude:
37
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.3
Flesch-Kincaid Ease
60.3
Gunning-Fog Score
11.8
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
7.4
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
24
Glenn Fine
That is correct.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Topics
Topic:
Law and Crime
Score:
97.915
Magnitude:
81
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
1.3
Flesch-Kincaid Ease
91
Gunning-Fog Score
1.2
Coleman-Liau Index
9.6
SMOG Index
3.3
Automated Readability Index
0.5
Dale-Chall Readability Score
0.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Sheldon Whitehouse
OK. Very good. Well, we have this vote, and everybody has gone to vote, so I probably better do the same. I would like to, with unanimous consent, insert into the record on behalf of Chairman Leahy a number of editorials from papers around the country, including the New York Times, the San Francisco Chronicle, the Washington Post, and USA Today that have editorialized against the partisanship of the Ashcroft and Gonzales regimes and called upon the current Attorney General to take action in response to these reports and hold people accountable, and a selection of these will be put into the record.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.83321
VADER
0.904
Very Positive
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.209
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.9
Gunning-Fog Score
14.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
33
Sheldon Whitehouse
The record will remain open for 1 week in the event anybody wishes to add to it, and if there is nothing further, again, with my grateful appreciation not only to you but also to the, I assume, very busy and hard-working staff members of the Office of Inspector General of the Department of Justice, you have done your own office and the Department, I think, considerable good with this report. And I hope you feel considerable pride in it. I think that many of us do. Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.972
Very Positive
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.071
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
95
Magnitude:
0.067
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
94.51
Magnitude:
103
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
59
Gunning-Fog Score
11.2
Coleman-Liau Index
8.9
SMOG Index
11.8
Automated Readability Index
9.5
Dale-Chall Readability Score
3.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
20
Glenn Fine
Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Topics
Topic:
Law and Crime
Score:
97.674
Magnitude:
88
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Sheldon Whitehouse
The hearing is adjourned.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
97
Gunning-Fog Score
1.6
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
5.3
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Note
[Senate Hearing 110-550] [From the U.S. Government Printing Office]
Sentiment
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
56.3
Gunning-Fog Score
11.6
Coleman-Liau Index
11.7
SMOG Index
12
Automated Readability Index
8.5
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
3331
Sprache Difficult Word Count
1240