Fact
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Press Briefing: White House COVID-19 Response Team Holds a Briefing - February 10, 2021
StressLens
3 Topics
Entities
Moderation
6 Speakers
Topics
Entities
No entities found
Moderation
No moderation found
Speakers
Jeff Zients Jeff Zients said 88 sentences of a total of 238 sentences.
37%
Jeff Zients said 1104 words of a total of 4325 words.
26%
Jeff Zients talked 497 seconds of a total of 1784 seconds.
28%
Anthony Fauci Anthony Fauci said 44 sentences of a total of 238 sentences.
19%
Anthony Fauci said 1069 words of a total of 4325 words.
25%
Anthony Fauci talked 451 seconds of a total of 1784 seconds.
26%
Rochelle Walensky Rochelle Walensky said 48 sentences of a total of 238 sentences.
21%
Rochelle Walensky said 1054 words of a total of 4325 words.
25%
Rochelle Walensky talked 410 seconds of a total of 1784 seconds.
23%
Marcella Nunez-Smith Marcella Nunez-Smith said 42 sentences of a total of 238 sentences.
18%
Marcella Nunez-Smith said 898 words of a total of 4325 words.
21%
Marcella Nunez-Smith talked 342 seconds of a total of 1784 seconds.
20%
Question Question said 10 sentences of a total of 238 sentences.
5%
Question said 160 words of a total of 4325 words.
4%
Question talked 63 seconds of a total of 1784 seconds.
4%
Operator Operator said 6 sentences of a total of 238 sentences.
3%
Operator said 40 words of a total of 4325 words.
1%
Operator talked 23 seconds of a total of 1784 seconds.
2%
Full Transcript
Jeff Zients
00:00:00-00:00:29 (29 sec)No StressLens
Good morning. Three weeks ago, the President launched his comprehensive whole-of-government strategy to tackle the COVID-19 pandemic. Central to that strategy is getting shots into the arms of the American people. We've been making steady progress over the past few weeks, getting more vaccine supply, getting more vaccinators on the ground, and creating more places to get vaccinated.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.856
Very Positive
Moderation
Violence
0.0180248026
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000610191
OpenAI Moderation v1 (007)
Sexual
0.0003724131
OpenAI Moderation v1 (007)
Harassment
0.0001592873
OpenAI Moderation v1 (007)
Violence > Graphic
9.567E-5
OpenAI Moderation v1 (007)
Sexual > Minors
9.50575E-5
OpenAI Moderation v1 (007)
Hate
4.99161E-5
OpenAI Moderation v1 (007)
Self-Harm
1.03381E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.501E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.447E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.84E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.433
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
96.141
Magnitude:
58
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
54.1
Gunning-Fog Score
10.7
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
10.4
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20
Jeff Zients
00:00:29-00:00:51 (22 sec)Weak (1.239)
We are on track to meet the President's goal of delivering 100 million shots in his first 100 days in office. Today I want to give you an update on our execution against that goal. We'll also hear from Dr. Nunez-Smith, get a state-of-the-pandemic update from Dr. Walensky, and an update on the latest science from Dr.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.077
Neutral
Moderation
Violence
0.0612123345
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002467135
OpenAI Moderation v1 (007)
Sexual
0.0014752426
OpenAI Moderation v1 (007)
Harassment
0.0008026916
OpenAI Moderation v1 (007)
Hate
0.0006872493
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004985928
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002773035
OpenAI Moderation v1 (007)
Hate > Threatening
2.00179E-5
OpenAI Moderation v1 (007)
Self-Harm
4.2094E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.5E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.87E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Computing and Information Technology > Software
Score:
100
Magnitude:
0.089
Code:
4003005
Url:
https://cv.iptc.org/newscodes/subjectcode/04003005
Wikidata_id:
Q7397
Wikidata_label:
software
Source:
IPTC Subject
Topic:
Health > Epidemic and Plague
Score:
72
Magnitude:
0.064
Code:
7002000
Url:
https://cv.iptc.org/newscodes/subjectcode/07002000
Wikidata_id:
Q44512
Wikidata_label:
epidemic
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
82.1
Gunning-Fog Score
8.2
Coleman-Liau Index
7.5
SMOG Index
9
Automated Readability Index
3.4
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Jeff Zients
00:00:51-00:01:17 (26 sec)No Signal (0.867)
Fauci. We'll then open it up for questions. The President has made clear that we're not going to solve this crisis overnight, but we are using every tool at our disposal to make progress in our effort to put this pandemic behind us. First, we continue to take steps to increase the vaccine supply and get it out the door as fast as the manufacturers can make it.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
0.809
Very Positive
Moderation
Violence
0.0046603014
OpenAI Moderation v1 (007)
Harassment
0.0010253505
OpenAI Moderation v1 (007)
Sexual
0.0007289696
OpenAI Moderation v1 (007)
Hate
0.0005224439
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002374501
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002198677
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001126399
OpenAI Moderation v1 (007)
Self-Harm
2.3282E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.1099E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.617E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.51E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.19
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
94.412
Magnitude:
68
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Health > Epidemic and Plague
Score:
74
Magnitude:
0.14
Code:
7002000
Url:
https://cv.iptc.org/newscodes/subjectcode/07002000
Wikidata_id:
Q44512
Wikidata_label:
epidemic
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
71.4
Gunning-Fog Score
10.9
Coleman-Liau Index
9
SMOG Index
10.8
Automated Readability Index
6.9
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
20
Jeff Zients
00:01:17-00:01:44 (27 sec)No Signal (0.534)
Yesterday we announced another increase in the weekly allocations of vaccine doses to states, tribes, and territories. We have achieved a 28 percent increase in the first three weeks of the administration. We're helping states administer the supply more efficiently and equitably by providing them with visibility into the supply they will receive over the coming three weeks.
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)
2.56495
VADER
0.83
Very Positive
Moderation
Violence
0.0195442379
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014266608
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011666059
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010065231
OpenAI Moderation v1 (007)
Sexual
0.0006357616
OpenAI Moderation v1 (007)
Harassment
0.0001402227
OpenAI Moderation v1 (007)
Hate
3.50674E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.2129E-6
OpenAI Moderation v1 (007)
Self-Harm
2.9167E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.179E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.51E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.189
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
93.845
Magnitude:
57
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.9
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
23
Jeff Zients
00:01:44-00:02:10 (26 sec)No Signal (0.778)
Second, we're mobilizing teams to get shots in arms. At the President's direction, we're moving quickly to get more vaccinators on the ground, including retired doctors and nurses. We've deployed hundreds of personnel across the federal government, from FEMA to USDA to HHS and other federal agencies, to support vaccination operations nationwide.
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
0.1499785576
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043595253
OpenAI Moderation v1 (007)
Sexual
0.0014744803
OpenAI Moderation v1 (007)
Hate
0.0011324878
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003556141
OpenAI Moderation v1 (007)
Harassment
0.0002812846
OpenAI Moderation v1 (007)
Self-Harm
4.79218E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.50628E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.1447E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.282E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.52E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.074
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
93.793
Magnitude:
52
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.9
Gunning-Fog Score
16.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.3
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
23
Jeff Zients
00:02:10-00:02:44 (34 sec)Weak (1.048)
And we have plans to deploy thousands more. Third, we're creating more places where Americans can get vaccinated. To do so, we've expedited financial support to bolster community vaccination centers nationwide, with over $3 billion in federal funding across 35 states, tribes, and territories. We're putting equity front and center, partnering with states to increase vaccinations in the hardest-hit and hardest-to-reach communities.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.22378
VADER
0.757
Very Positive
Moderation
Violence
0.0359706784
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0050705217
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017961545
OpenAI Moderation v1 (007)
Harassment
0.0009035349
OpenAI Moderation v1 (007)
Sexual
0.0005212355
OpenAI Moderation v1 (007)
Hate
0.0003173561
OpenAI Moderation v1 (007)
Sexual > Minors
5.30911E-5
OpenAI Moderation v1 (007)
Self-Harm
1.43248E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.34864E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.446E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.261E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.467
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
95.2
Magnitude:
60
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
40.7
Gunning-Fog Score
14.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
27
Jeff Zients
00:02:44-00:03:23 (39 sec)No StressLens
We've launched efforts to get more vaccines to pharmacies and community health centers. And we're building new vaccination centers from the ground up, in stadiums, community centers, school gyms, and parking lots across the country. And the data show that these efforts are working. As you can see in our vaccination progress report, our seven-day average daily doses administered is now 1.5 million shots per day, up from 1.1 million only two weeks ago.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.511
Very Positive
Moderation
Violence
0.0230421909
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024035793
OpenAI Moderation v1 (007)
Sexual
0.0010285746
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004720668
OpenAI Moderation v1 (007)
Violence > Graphic
0.000413689
OpenAI Moderation v1 (007)
Harassment
0.0001824992
OpenAI Moderation v1 (007)
Hate
4.06071E-5
OpenAI Moderation v1 (007)
Self-Harm
5.8314E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.5186E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.824E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.359E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
1
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
97.524
Magnitude:
72
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
55.8
Gunning-Fog Score
12.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.7
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
25
Jeff Zients
00:03:23-00:03:46 (24 sec)No Signal (0.377)
But let me be very clear: We have much more work to do. This is just the start. Today we have two updates on how we continue to increase the number of places to get vaccinated and ensure our response is equitable. First, we are building new vaccination sites. Last week, we announced new mass vaccination centers in California.
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
0.794
Very Positive
Moderation
Violence
0.0599554682
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0087966073
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013641476
OpenAI Moderation v1 (007)
Harassment
0.0006464233
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004971403
OpenAI Moderation v1 (007)
Sexual
0.0004215997
OpenAI Moderation v1 (007)
Hate
0.0001355219
OpenAI Moderation v1 (007)
Hate > Threatening
4.42249E-5
OpenAI Moderation v1 (007)
Self-Harm
1.21664E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.888E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.19E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
1
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
96.115
Magnitude:
59
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
67.2
Gunning-Fog Score
8.8
Coleman-Liau Index
10.2
SMOG Index
10
Automated Readability Index
5.3
Dale-Chall Readability Score
4.1
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14
Jeff Zients
00:03:46-00:04:14 (28 sec)No Signal (0.817)
And today I'm pleased to announce that we'll partner with the state of Texas to build three new major community vaccination centers in Dallas, Arlington, and Houston -- communities hit hard by the pandemic. In Houston, we're building a major site at NRG Stadium; in South Dallas, a new site at Fair Park; and in Arlington, a site at AT&T Stadium.
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
0.586
Very Positive
Moderation
Violence
0.0458561786
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0065127089
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010582676
OpenAI Moderation v1 (007)
Harassment
0.0010010399
OpenAI Moderation v1 (007)
Hate
0.0007173265
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003860529
OpenAI Moderation v1 (007)
Sexual
0.0002374879
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002110762
OpenAI Moderation v1 (007)
Self-Harm
5.3577E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.188E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.96E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Preventative Medicine > Vaccines
Score:
100
Magnitude:
0.058
Code:
7008001
Url:
https://cv.iptc.org/newscodes/subjectcode/07008001
Wikidata_id:
Q134808
Wikidata_label:
vaccine
Source:
IPTC Subject
Topic:
Health
Score:
91.955
Magnitude:
62
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.7
Gunning-Fog Score
14.7
Coleman-Liau Index
10.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
22
Jeff Zients
00:04:14-00:04:41 (27 sec)Weak (1.334)
Together, these sites will be capable of administering more than 10,000 shots in arms a day. We are deploying federal teams immediately to work hand in hand with the state and local jurisdiction. We appreciate Governor Abbott, Representative Sheila Jackson Lee, Representative Eddie Bernice Johnson, Representative Mark Veasey, and Representative Ron Wright.
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
0.893
Very Positive
Moderation
Violence
0.0991279609
OpenAI Moderation v1 (007)
Sexual
0.0065278306
OpenAI Moderation v1 (007)
Violence > Graphic
0.0057911675
OpenAI Moderation v1 (007)
Harassment
0.0012623416
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011842586
OpenAI Moderation v1 (007)
Hate
0.0010473349
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007706245
OpenAI Moderation v1 (007)
Hate > Threatening
4.25485E-5
OpenAI Moderation v1 (007)
Self-Harm
1.06299E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.3341E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.643E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.094
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Politics > Election
Score:
100
Magnitude:
0.094
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Defense
Score:
87.54
Magnitude:
51
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Unrest, Conflicts and War
Score:
66
Magnitude:
0.062
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.9
Gunning-Fog Score
12.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
22
Jeff Zients
00:04:41-00:05:09 (28 sec)No Signal (0.556)
Local mayors and county leaders are also part of this partnership. We expect these sites to start getting shots in arms beginning the week of February 22nd. Importantly, FEMA has partnered with CDC to launch these and other vaccination sites that use processes and are in locations that promote equity, deploying CDC's social vulnerability index.
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)
0.58779
VADER
0.459
Positive
Moderation
Violence
0.0136911345
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0054070453
OpenAI Moderation v1 (007)
Harassment
0.0031743828
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010592004
OpenAI Moderation v1 (007)
Hate
0.0008765952
OpenAI Moderation v1 (007)
Sexual
0.0001698776
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001169305
OpenAI Moderation v1 (007)
Hate > Threatening
6.1159E-5
OpenAI Moderation v1 (007)
Self-Harm
5.17733E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.224E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.05E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parties and Movements
Score:
100
Magnitude:
0.111
Code:
11010000
Url:
https://cv.iptc.org/newscodes/subjectcode/11010000
Wikidata_id:
Q7278
Wikidata_label:
political party
Source:
IPTC Subject
Topic:
Health
Score:
94.87
Magnitude:
55
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Politics > Regional Authority
Score:
61
Magnitude:
0.068
Code:
11012000
Url:
https://cv.iptc.org/newscodes/subjectcode/11012000
Wikidata_id:
Q1802419
Wikidata_label:
state government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
43.6
Gunning-Fog Score
13.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
26
Jeff Zients
00:05:09-00:05:31 (22 sec)No StressLens
Second on this point, we continue to put equity at the center of our work more broadly, guided by Dr. Marcella Nunez-Smith. Today we're pleased to announce the members of our Health Equity Task Force. Ensuring that we reach every person in our response is something that the President and Vice President feel very strongly about.
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)
1.22378
VADER
0.755
Very Positive
Moderation
Violence
0.0042499603
OpenAI Moderation v1 (007)
Sexual
0.0025586587
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020628793
OpenAI Moderation v1 (007)
Harassment
0.0016454744
OpenAI Moderation v1 (007)
Hate
0.0006992159
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000652856
OpenAI Moderation v1 (007)
Sexual > Minors
0.000376813
OpenAI Moderation v1 (007)
Self-Harm
2.00369E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.94324E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.692E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.495E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.06
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Civil Rights
Score:
89.464
Magnitude:
56
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
58.8
Gunning-Fog Score
10.6
Coleman-Liau Index
11.7
SMOG Index
11.3
Automated Readability Index
7.7
Dale-Chall Readability Score
5.7
Sprache Readability Score
4
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
20
Jeff Zients
00:05:31-00:05:53 (22 sec)Weak (1.468)
On his second day in office, President Biden signed an executive order to create this task force. And we could not have picked a better leader in Dr. Nunez-Smith to help drive this work. I also want to note that Vice President Harris's work in the Senate informed the development of the mission and work of the Health Equity Task Force.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.16667
Leans Positive
Harvard-IV (Absolute)
0.16667
Leans Positive
Harvard-IV (Logit)
0.31015
VADER
0.549
Very Positive
Moderation
Violence
0.001511673
OpenAI Moderation v1 (007)
Violence > Graphic
0.001340276
OpenAI Moderation v1 (007)
Sexual
0.0013235301
OpenAI Moderation v1 (007)
Harassment
0.0006985021
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003990991
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001293947
OpenAI Moderation v1 (007)
Hate
9.01928E-5
OpenAI Moderation v1 (007)
Self-Harm
1.81175E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.896E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.8898E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1138E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.195
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Health
Score:
90.533
Magnitude:
61
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Politics > Defense
Score:
76
Magnitude:
0.148
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
71
Magnitude:
0.138
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
53
Magnitude:
0.103
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
72.4
Gunning-Fog Score
8.1
Coleman-Liau Index
9.7
SMOG Index
9
Automated Readability Index
6.8
Dale-Chall Readability Score
5.6
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
21
Jeff Zients
00:05:53-00:06:19 (26 sec)No Signal (0.659)
Then, Senator Harris introduced the COVID-19 Racial and Ethnic Disparity Task Force Act to gather data about disproportionally affected communities and provide recommendations combat the racial and ethnic disparities in the COVID-19 response. Today, that vision becomes a reality as we create this task force to help lead our national response.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.422
Positive
Moderation
Violence
0.0085451473
OpenAI Moderation v1 (007)
Violence > Graphic
0.0065511289
OpenAI Moderation v1 (007)
Harassment
0.0017969942
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011355819
OpenAI Moderation v1 (007)
Hate
0.0007565897
OpenAI Moderation v1 (007)
Sexual
0.000717079
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002247363
OpenAI Moderation v1 (007)
Hate > Threatening
1.17582E-5
OpenAI Moderation v1 (007)
Self-Harm
1.0754E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.361E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.787E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.129
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Civil Rights
Score:
96.57
Magnitude:
51
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Politics > Parliament
Score:
71
Magnitude:
0.091
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
20.3
Gunning-Fog Score
18.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
22
Jeff Zients
00:06:19-00:06:52 (33 sec)No StressLens
So now I'll turn it over to Dr. Nunez-Smith. Dr. Nunez-Smith. Dr. Nunez-Smith, are you on mute? Maybe you can try again, Dr. Nunez-Smith.
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)
-1.60944
VADER
0
Neutral
Moderation
Harassment
0.0253443985
OpenAI Moderation v1 (007)
Violence
0.0106343039
OpenAI Moderation v1 (007)
Sexual
0.010252319
OpenAI Moderation v1 (007)
Hate
0.0036212139
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015962523
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011906806
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005424753
OpenAI Moderation v1 (007)
Hate > Threatening
8.82127E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.19279E-5
OpenAI Moderation v1 (007)
Self-Harm
5.05914E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.3405E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.5
Flesch-Kincaid Ease
97.5
Gunning-Fog Score
1.4
Coleman-Liau Index
4.9
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
8.1
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
5
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
0.226
Slightly Positive
Moderation
Harassment
0.0148992971
OpenAI Moderation v1 (007)
Sexual
0.0113907656
OpenAI Moderation v1 (007)
Violence
0.0105874162
OpenAI Moderation v1 (007)
Hate
0.0019824045
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018667513
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014254817
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008048999
OpenAI Moderation v1 (007)
Self-Harm
0.0001019148
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.41043E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.1059E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.5699E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
75.9
Gunning-Fog Score
1.6
Coleman-Liau Index
9.2
SMOG Index
3.3
Automated Readability Index
0.6
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
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)
1.94591
VADER
0.827
Very Positive
Moderation
Sexual
0.0310569623
OpenAI Moderation v1 (007)
Violence
0.0074579628
OpenAI Moderation v1 (007)
Harassment
0.0035753874
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034100958
OpenAI Moderation v1 (007)
Self-Harm
0.0011078609
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00108221
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008611027
OpenAI Moderation v1 (007)
Hate
0.0004984848
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004054156
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8707E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.056E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
11.5
SMOG Index
3.3
Automated Readability Index
1.6
Dale-Chall Readability Score
2.7
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
0
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
0.718
Very Positive
Moderation
Sexual
0.0113722395
OpenAI Moderation v1 (007)
Violence
0.0039785944
OpenAI Moderation v1 (007)
Violence > Graphic
0.002772094
OpenAI Moderation v1 (007)
Harassment
0.0024078347
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003352053
OpenAI Moderation v1 (007)
Hate
0.0003087948
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002737084
OpenAI Moderation v1 (007)
Self-Harm
3.65643E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.17367E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.5713E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.013E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
77.9
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
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
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
0.572
Very Positive
Moderation
Sexual
0.0107119791
OpenAI Moderation v1 (007)
Violence
0.0062800209
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037527603
OpenAI Moderation v1 (007)
Harassment
0.0020299356
OpenAI Moderation v1 (007)
Hate
0.0005035495
OpenAI Moderation v1 (007)
Self-Harm
0.0002186824
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002153459
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001648349
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001602947
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001149312
OpenAI Moderation v1 (007)
Hate > Threatening
1.7226E-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
0
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Marcella Nunez-Smith
00:06:55-00:07:20 (25 sec)No StressLens
So, thank you, Jeff. And good morning to everyone. You know, shortly after COVID-19 was first identified in the United States, we began to see disparities in testing, in cases, and in rates of hospitalization and mortality. And these inequities were quickly evident by race, ethnicity, geography, disability, sexual orientation, gender identity, and other factors.
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
0.816
Very Positive
Moderation
Harassment
0.0810471887
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036487025
OpenAI Moderation v1 (007)
Sexual
0.0026635616
OpenAI Moderation v1 (007)
Violence
0.0020562151
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019127951
OpenAI Moderation v1 (007)
Hate
0.0010013721
OpenAI Moderation v1 (007)
Self-Harm
0.0008729796
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001823557
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001187108
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.98338E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.6685E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
91.628
Magnitude:
55
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31
Gunning-Fog Score
14.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
5.8
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
23
Marcella Nunez-Smith
00:07:20-00:07:39 (20 sec)No StressLens
You know, as the pandemic has progressed over the past year, so too have the inequities. And over the fast -- the past few months, we've seen new disparities emerge -- you know, most notably with regards to access to therapeutics and vaccines. So, absolutely, make no mistake about it: Beating this pandemic is hard work.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.63599
VADER
-0.834
Very Negative
Moderation
Violence
0.0212293817
OpenAI Moderation v1 (007)
Harassment
0.0114897754
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023703928
OpenAI Moderation v1 (007)
Sexual
0.000672869
OpenAI Moderation v1 (007)
Hate
0.0003743016
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003007494
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001378125
OpenAI Moderation v1 (007)
Self-Harm
1.89913E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.8693E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5108E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.332E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Epidemic and Plague
Score:
100
Magnitude:
0.198
Code:
7002000
Url:
https://cv.iptc.org/newscodes/subjectcode/07002000
Wikidata_id:
Q44512
Wikidata_label:
epidemic
Source:
IPTC Subject
Topic:
Health
Score:
96.545
Magnitude:
56
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
60.1
Gunning-Fog Score
13.1
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
9.5
Dale-Chall Readability Score
4.4
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13
Marcella Nunez-Smith
00:07:39-00:07:59 (19 sec)No StressLens
And beating this pandemic while making sure that everyone in every community has a fair chance to stay safe or to regain their health, well, that's the hard work done the right way. So President Biden and Vice President Harris have made it clear since the beginning that they are committed to centering their administration's COVID-19 response on equity.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.872
Very Positive
Moderation
Violence
0.0192521722
OpenAI Moderation v1 (007)
Violence > Graphic
0.0074509393
OpenAI Moderation v1 (007)
Sexual
0.0023544668
OpenAI Moderation v1 (007)
Harassment
0.0019756328
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019471236
OpenAI Moderation v1 (007)
Hate
0.0005404872
OpenAI Moderation v1 (007)
Self-Harm
7.44254E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.34103E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.6093E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.2944E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0902E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.116
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Health > Epidemic and Plague
Score:
69
Magnitude:
0.08
Code:
7002000
Url:
https://cv.iptc.org/newscodes/subjectcode/07002000
Wikidata_id:
Q44512
Wikidata_label:
epidemic
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
67
Magnitude:
0.078
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Civil Rights
Score:
52.145
Magnitude:
59
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Health
Score:
34.966
Magnitude:
59
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.1
Gunning-Fog Score
18.7
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
14
Sprache Difficult Word Count
19
Marcella Nunez-Smith
00:07:59-00:08:15 (17 sec)No StressLens
And as Jeff mentioned, Vice President Harris set a blueprint for how to advise this commitment during her time in the Senate. And President Biden not only agreed with the necessity of such a task force -- you know, as Jeff said, he signed an executive order requiring its formation in his first full day in office.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
-0.083
Neutral
Moderation
Violence > Graphic
0.032986392
OpenAI Moderation v1 (007)
Sexual
0.0084689411
OpenAI Moderation v1 (007)
Violence
0.0033923698
OpenAI Moderation v1 (007)
Harassment
0.0019262809
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009318968
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000814648
OpenAI Moderation v1 (007)
Hate
0.0004252517
OpenAI Moderation v1 (007)
Self-Harm
0.0001085019
OpenAI Moderation v1 (007)
Hate > Threatening
6.68805E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.9453E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.4266E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.107
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
71
Magnitude:
0.076
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Politics > Parliament > Upper House
Score:
65
Magnitude:
0.07
Code:
11009001
Url:
https://cv.iptc.org/newscodes/subjectcode/11009001
Wikidata_id:
Q637846
Wikidata_label:
upper house
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56
Gunning-Fog Score
14.8
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
20
Marcella Nunez-Smith
00:08:15-00:08:41 (25 sec)No StressLens
Next slide, please. And today, that vision for our federal COVID-19 Health Equity Task Force officially becomes a reality. Not only am I humbled and honored that President Biden has asked me to serve as the chair of this COVID-19 Health Equity Task Force, but I am truly excited to share that the President has announced the 12 individuals he has selected to serve as non-federal members.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.8473
VADER
0.923
Very Positive
Moderation
Violence
0.0328923372
OpenAI Moderation v1 (007)
Sexual
0.0105397397
OpenAI Moderation v1 (007)
Sexual > Minors
0.0048922262
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043639549
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034092962
OpenAI Moderation v1 (007)
Harassment
0.0030910633
OpenAI Moderation v1 (007)
Hate
0.0010530014
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004817296
OpenAI Moderation v1 (007)
Self-Harm
0.0001056828
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.7259E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0339E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.146
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Health
Score:
91.375
Magnitude:
66
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Health
Score:
67
Magnitude:
0.098
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
56.3
Gunning-Fog Score
13.3
Coleman-Liau Index
10
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
5.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
23
Marcella Nunez-Smith
00:08:41-00:09:01 (20 sec)No StressLens
These individuals were identified through conversations with stakeholder groups, on recommendation by organizations and individuals, and through the visible effort and expertise they have lent to their communities in the fight against COVID-19. And their bios are available on the Department of Health and Human Services website.
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
-0.382
Somewhat Negative
Moderation
Violence
0.0201899849
OpenAI Moderation v1 (007)
Harassment
0.0020855061
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013857762
OpenAI Moderation v1 (007)
Sexual
0.0006080631
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005638564
OpenAI Moderation v1 (007)
Hate
0.0005578818
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001582798
OpenAI Moderation v1 (007)
Self-Harm
8.58772E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.95641E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7159E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.399E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
100
Magnitude:
0.061
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Health
Score:
41.673
Magnitude:
47
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
20.3
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
19
Marcella Nunez-Smith
00:09:01-00:09:28 (28 sec)No StressLens
But in addition to their noteworthy backgrounds and expertise, these individuals represent a range of racial and ethnic groups and also key constituencies, including children and youth; educators and students; healthcare providers; immigrants; individuals with disabilities; LGBTQ-plus individuals; public health experts; rural communities; state, local, territorial, and tribal governments; and unions.
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
Neutral
Moderation
Harassment
0.0133359834
OpenAI Moderation v1 (007)
Sexual
0.0012197002
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006484523
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004502647
OpenAI Moderation v1 (007)
Violence
0.0003719453
OpenAI Moderation v1 (007)
Hate
0.0002190734
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001615203
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001190553
OpenAI Moderation v1 (007)
Self-Harm
1.2711E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.3892E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.69E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Migration
Score:
100
Magnitude:
0.089
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.09
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Civil Rights
Score:
74.106
Magnitude:
51
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Education > Teaching and Learning > Students
Score:
64
Magnitude:
0.058
Code:
5010001
Url:
https://cv.iptc.org/newscodes/subjectcode/05010001
Wikidata_id:
Q48282
Wikidata_label:
student
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
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
31
Marcella Nunez-Smith
00:09:28-00:09:52 (24 sec)No StressLens
And in my discretion as chair of this task force, I will be asking representatives from the Departments of Agriculture, Education, Health and Human Services, Housing and Urban Development, Justice, and Labor to sit on this task force, as well, to offer their critical perspective on some of the most effective levers we can pull in our efforts for COVID-19 health equity.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.63599
VADER
0.762
Very Positive
Moderation
Violence
0.0006119264
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004108719
OpenAI Moderation v1 (007)
Sexual
0.000312036
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001814489
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001598186
OpenAI Moderation v1 (007)
Harassment
0.0001332423
OpenAI Moderation v1 (007)
Hate
9.64197E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.4718E-6
OpenAI Moderation v1 (007)
Self-Harm
2.528E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.99E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.1E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Interior Policy > Housing and Urban Planning
Score:
100
Magnitude:
0.351
Code:
11016002
Url:
https://cv.iptc.org/newscodes/subjectcode/11016002
Wikidata_id:
Q69883
Wikidata_label:
urban planning
Source:
IPTC Subject
Topic:
Health
Score:
84.609
Magnitude:
62
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Labor > Health and Safety at Work
Score:
83
Magnitude:
0.29
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Construction and Property
Score:
68
Magnitude:
0.239
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
8.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
23
Marcella Nunez-Smith
00:09:52-00:10:22 (29 sec)No StressLens
Next slide, please. Just a quick word on the actual work of this task force. This advisory body is charged with issuing a range of recommendations to help inform the COVID-19 response and recovery. So this includes thinking about the equitable allocation of COVID-19 resources and relief funds; you know, effective outreach and communication to underserved and minoritized populations; and improving cultural responsiveness within the federal government.
Sentiment
Loughran McDonald (Relative)
0.6
Very Positive
Loughran McDonald (Absolute)
0.6
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.76471
Very Positive
Harvard-IV (Absolute)
0.76471
Very Positive
Harvard-IV (Logit)
1.82455
VADER
0.923
Very Positive
Moderation
Harassment > Threatening
0.0322304026
OpenAI Moderation v1 (007)
Harassment
0.0199597009
OpenAI Moderation v1 (007)
Sexual
0.0106730004
OpenAI Moderation v1 (007)
Violence
0.0099242694
OpenAI Moderation v1 (007)
Sexual > Minors
0.0087616558
OpenAI Moderation v1 (007)
Hate
0.0051455361
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008074039
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003703228
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.87645E-5
OpenAI Moderation v1 (007)
Self-Harm
4.76218E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0265E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Language
Score:
100
Magnitude:
0.09
Code:
1008000
Url:
https://cv.iptc.org/newscodes/subjectcode/01008000
Wikidata_id:
Q315
Wikidata_label:
language
Source:
IPTC Subject
Topic:
Politics > Government
Score:
91
Magnitude:
0.082
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
75
Magnitude:
0.067
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Arts (General)
Score:
63
Magnitude:
0.057
Code:
1020000
Url:
https://cv.iptc.org/newscodes/subjectcode/01020000
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Civil Rights
Score:
50.723
Magnitude:
67
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.1
Gunning-Fog Score
16.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
32
Marcella Nunez-Smith
00:10:22-00:10:56 (34 sec)No StressLens
You know, additional recommendations will advise on efforts to improve our data collection and use, as well as a long-term plan to address data shortfalls regarding communities of color and underserved populations. And the work of the task force will conclude after issuing a final report to the COVID-19 response coordinator on the drivers of observe [Inaudible] COVID-19 inequities, the potential for ongoing disparities facing COVID-19 survivors, and actions to ensure that future pandemic responses do not ignore or exacerbated health inequities.
Sentiment
Loughran McDonald (Relative)
-0.75
Very Negative
Loughran McDonald (Absolute)
-0.75
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.52941
Very Positive
Harvard-IV (Absolute)
0.52941
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.793
Very Positive
Moderation
Harassment
0.0220406611
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0181719341
OpenAI Moderation v1 (007)
Violence
0.0118145195
OpenAI Moderation v1 (007)
Sexual
0.0033116656
OpenAI Moderation v1 (007)
Hate
0.0010553841
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006119649
OpenAI Moderation v1 (007)
Violence > Graphic
0.000604634
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005786818
OpenAI Moderation v1 (007)
Self-Harm
8.80063E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.75171E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.3524E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Interior Policy > Personal Data Collection
Score:
100
Magnitude:
0.214
Code:
11016006
Url:
https://cv.iptc.org/newscodes/subjectcode/11016006
Wikidata_id:
Q1999831
Wikidata_label:
privacy policy
Source:
IPTC Subject
Topic:
Disaster and Accident > Transport Accident > Road Accident
Score:
88
Magnitude:
0.187
Code:
3010001
Url:
https://cv.iptc.org/newscodes/subjectcode/03010001
Wikidata_id:
Q9687
Wikidata_label:
traffic collision
Source:
IPTC Subject
Topic:
Health
Score:
86.788
Magnitude:
81
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Labor > Health and Safety at Work
Score:
54
Magnitude:
0.116
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
13.4
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
36
Sprache Difficult Word Count
37
Marcella Nunez-Smith
00:10:56-00:11:17 (21 sec)No StressLens
We want everyone to feel connected to this work. So, in addition to this COVID-19 Health Equity Task Force, the administration has already begun -- will, of course, continue. And that will include the launch of a series of constituent listening sessions to engage with key communities whose voices we know are so important to [Inaudible] conversation about equity.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.402
Positive
Moderation
Harassment > Threatening
0.0019764469
OpenAI Moderation v1 (007)
Violence
0.0010992972
OpenAI Moderation v1 (007)
Sexual
0.0009170136
OpenAI Moderation v1 (007)
Harassment
0.0007123045
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005861903
OpenAI Moderation v1 (007)
Hate
0.0002217083
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001605428
OpenAI Moderation v1 (007)
Self-Harm
7.1245E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.0546E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.6371E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.41E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.096
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Politics > Constitution
Score:
87
Magnitude:
0.083
Code:
11015000
Url:
https://cv.iptc.org/newscodes/subjectcode/11015000
Wikidata_id:
Q7755
Wikidata_label:
constitution
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
86
Magnitude:
0.082
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
82
Magnitude:
0.079
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Civil Rights
Score:
78.755
Magnitude:
58
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Social Issue
Score:
64
Magnitude:
0.061
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.8
Gunning-Fog Score
16.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.2
Dale-Chall Readability Score
5.6
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19
Marcella Nunez-Smith
00:11:17-00:11:24 (7 sec)No StressLens
We will always, always [Inaudible] endeavor to engage with every community to inform [Inaudible] necessary to drive positive change.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.718
Very Positive
Moderation
Violence
0.0096316544
OpenAI Moderation v1 (007)
Harassment
0.0045205405
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029157451
OpenAI Moderation v1 (007)
Hate
0.0013752242
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012544212
OpenAI Moderation v1 (007)
Sexual
0.0009564016
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003316608
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001841298
OpenAI Moderation v1 (007)
Self-Harm
6.8145E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7691E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.66E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.4
Gunning-Fog Score
18.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
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
0.0285335351
OpenAI Moderation v1 (007)
Violence
0.0216231667
OpenAI Moderation v1 (007)
Violence > Graphic
0.0098869205
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0033393448
OpenAI Moderation v1 (007)
Hate > Threatening
0.0025033272
OpenAI Moderation v1 (007)
Sexual
0.0024321476
OpenAI Moderation v1 (007)
Hate
0.0013129286
OpenAI Moderation v1 (007)
Self-Harm
8.54095E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.06003E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.57172E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.23273E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
92.5
Gunning-Fog Score
0.6
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Marcella Nunez-Smith
00:11:27-00:11:31 (4 sec)No StressLens
So I just want to issue congratulations to all of the individuals.
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
0.668
Very Positive
Moderation
Sexual
0.0206547687
OpenAI Moderation v1 (007)
Violence
0.0127366904
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0028434246
OpenAI Moderation v1 (007)
Harassment
0.0017658884
OpenAI Moderation v1 (007)
Self-Harm
0.0017414615
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013425877
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010837489
OpenAI Moderation v1 (007)
Hate
0.0009428069
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006527183
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002050307
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001717004
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
27.638
Magnitude:
12
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
46.6
Gunning-Fog Score
11.5
Coleman-Liau Index
10.7
SMOG Index
11.3
Automated Readability Index
5.8
Dale-Chall Readability Score
4.5
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Jeff Zients
00:11:31-00:11:45 (14 sec)No Signal (0.735)
We're having a little bit of technical difficulty. Why don't we do this: Why don't we go to Dr. Walensky, sort through those technical difficulties. We'll come back to you at the end for you to complete your remarks. So let's go to Dr. Walensky on the state of the pandemic. Dr. Walensky.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
-0.557
Very Negative
Moderation
Violence
0.0082763647
OpenAI Moderation v1 (007)
Harassment
0.0064743472
OpenAI Moderation v1 (007)
Violence > Graphic
0.0045686116
OpenAI Moderation v1 (007)
Hate
0.0019612158
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012011413
OpenAI Moderation v1 (007)
Sexual
0.0009323581
OpenAI Moderation v1 (007)
Sexual > Minors
8.61408E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.52719E-5
OpenAI Moderation v1 (007)
Self-Harm
8.5692E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.6233E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.977E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Epidemic and Plague
Score:
100
Magnitude:
0.091
Code:
7002000
Url:
https://cv.iptc.org/newscodes/subjectcode/07002000
Wikidata_id:
Q44512
Wikidata_label:
epidemic
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
80.4
Gunning-Fog Score
8.7
Coleman-Liau Index
8.7
SMOG Index
9
Automated Readability Index
1.5
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
12
Rochelle Walensky
00:11:45-00:12:19 (34 sec)No StressLens
Great, thank you so much, Jeff. And thanks to all of you again for being with us today. Cases and new hospital admissions continue to fall. Deaths have decreased slightly in the most recent seven days. And we are watching these data closely. Because cases, hospitalizations, and deaths remain high, and because we are still losing more than a thousand Americans daily to this disease, we must continue to take every action we can to protect our loved ones and our communities.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.28571
Slightly Positive
Harvard-IV (Absolute)
0.28571
Slightly Positive
Harvard-IV (Logit)
0.54654
VADER
0.925
Very Positive
Moderation
Violence
0.1260561985
OpenAI Moderation v1 (007)
Violence > Graphic
0.0045773504
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002486871
OpenAI Moderation v1 (007)
Sexual
0.0013870957
OpenAI Moderation v1 (007)
Self-Harm
0.0012998126
OpenAI Moderation v1 (007)
Harassment
0.0011921111
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011840653
OpenAI Moderation v1 (007)
Hate
0.0004889053
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003953948
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002683333
OpenAI Moderation v1 (007)
Hate > Threatening
2.87545E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Hospital and Clinic
Score:
100
Magnitude:
0.12
Code:
7010000
Url:
https://cv.iptc.org/newscodes/subjectcode/07010000
Wikidata_id:
Q559392
Wikidata_label:
Medicare
Source:
IPTC Subject
Topic:
Health
Score:
92.008
Magnitude:
82
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Health > Disease
Score:
85
Magnitude:
0.102
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Human Interest > Society > Death
Score:
78
Magnitude:
0.093
Code:
8005002
Url:
https://cv.iptc.org/newscodes/subjectcode/08005002
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
63
Gunning-Fog Score
9.4
Coleman-Liau Index
11.7
SMOG Index
10.3
Automated Readability Index
7.4
Dale-Chall Readability Score
4.1
Sprache Readability Score
4
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
21
Rochelle Walensky
00:12:19-00:12:39 (20 sec)No StressLens
One of the simple things we can all do, one thing that will make the biggest difference, is to wear a mask. I know some of you are both tired of hearing about masks, as well as tired of wearing them. Masks can be cumbersome. They can be inconvenient. And I also know that many of you still have questions about masks.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.45455
Negative
Harvard-IV (Absolute)
-0.45455
Negative
Harvard-IV (Logit)
-0.8873
VADER
-0.727
Very Negative
Moderation
Violence
0.0035563135
OpenAI Moderation v1 (007)
Harassment
0.0023859826
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001298149
OpenAI Moderation v1 (007)
Sexual
7.21223E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.80308E-5
OpenAI Moderation v1 (007)
Hate
4.86701E-5
OpenAI Moderation v1 (007)
Violence > Graphic
3.94657E-5
OpenAI Moderation v1 (007)
Self-Harm
1.24156E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.1855E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6922E-6
OpenAI Moderation v1 (007)
Hate > Threatening
9.82E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
95.377
Magnitude:
62
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.3
Flesch-Kincaid Ease
86.5
Gunning-Fog Score
7.5
Coleman-Liau Index
7.7
SMOG Index
8.4
Automated Readability Index
3.6
Dale-Chall Readability Score
1.6
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
10
Rochelle Walensky
00:12:39-00:13:07 (28 sec)No StressLens
You may be unsure if they work, what kind is best, and whether two masks are better than one. We've learned a lot about masks over the past year. Today, I want to share with you some new science that is emerging about masks and what we know now that we didn't know when the pandemic started. The science is clear: Everyone needs to be wearing a mask when they are in public or when they're in their own home but with people who do not live in their household.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.76214
VADER
0.681
Very Positive
Moderation
Harassment
0.001105208
OpenAI Moderation v1 (007)
Violence
0.0008107047
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001476683
OpenAI Moderation v1 (007)
Violence > Graphic
2.25317E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.49296E-5
OpenAI Moderation v1 (007)
Hate
1.11151E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.5751E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.7165E-6
OpenAI Moderation v1 (007)
Sexual
1.3898E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.336E-7
OpenAI Moderation v1 (007)
Self-Harm
1.226E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Epidemic and Plague
Score:
100
Magnitude:
0.082
Code:
7002000
Url:
https://cv.iptc.org/newscodes/subjectcode/07002000
Wikidata_id:
Q44512
Wikidata_label:
epidemic
Source:
IPTC Subject
Topic:
Health
Score:
97.089
Magnitude:
90
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
80.6
Gunning-Fog Score
10.3
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
8.6
Dale-Chall Readability Score
2.7
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
16
Rochelle Walensky
00:13:07-00:13:36 (29 sec)No StressLens
This is especially true with our ongoing concern about new variants spreading in the United States. Masks offer two kinds of protection. When I wear a mask, it protects you and it protects me. But to get the most protection possible, we all have to wear them. Research has demonstrated that COVID-19 infections and deaths have decreased when policies that require everyone to wear a mask have been implemented.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.26826
VADER
0.858
Very Positive
Moderation
Violence
0.0062212071
OpenAI Moderation v1 (007)
Harassment
0.0032149539
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010468716
OpenAI Moderation v1 (007)
Violence > Graphic
8.88387E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.64962E-5
OpenAI Moderation v1 (007)
Hate
2.14093E-5
OpenAI Moderation v1 (007)
Sexual
1.7119E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.14263E-5
OpenAI Moderation v1 (007)
Self-Harm
4.705E-6
OpenAI Moderation v1 (007)
Sexual > Minors
3.3182E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.1753E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Research
Score:
100
Magnitude:
0.053
Code:
13006000
Url:
https://cv.iptc.org/newscodes/subjectcode/13006000
Wikidata_id:
Q42240
Wikidata_label:
research
Source:
IPTC Subject
Topic:
Health
Score:
96.403
Magnitude:
69
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
63.3
Gunning-Fog Score
11.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.9
Dale-Chall Readability Score
4.3
Sprache Readability Score
4
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
20
Rochelle Walensky
00:13:36-00:14:06 (30 sec)No StressLens
So with cases, hospitalizations, and deaths still very high, now is not the time to roll back mask requirements. I have also seen very -- many well-meaning people wearing masks that do not fit well or fit incorrectly. In fact, recent survey data from Porter Novelli found that among adults who reported wearing masks in the past week, half said they wore their masks incorrectly in public.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.187
Leans Positive
Moderation
Violence
0.0049660139
OpenAI Moderation v1 (007)
Harassment
0.0030281839
OpenAI Moderation v1 (007)
Violence > Graphic
6.26019E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
4.71563E-5
OpenAI Moderation v1 (007)
Hate
1.82404E-5
OpenAI Moderation v1 (007)
Sexual
1.503E-5
OpenAI Moderation v1 (007)
Self-Harm
2.0856E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.3431E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.485E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.3E-7
OpenAI Moderation v1 (007)
Hate > Threatening
4.94E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
97.503
Magnitude:
67
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
57.9
Gunning-Fog Score
11.9
Coleman-Liau Index
11.6
SMOG Index
11.3
Automated Readability Index
11.7
Dale-Chall Readability Score
4.4
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16
Rochelle Walensky
00:14:06-00:14:41 (35 sec)No StressLens
New data released from CDC today underscore the importance of wearing a mask correctly and making sure it fits closely and snugly over your nose and mouth. In this new study, researchers used experiments in the laboratory, not the real world, to assess how different strategies to improve the fit of masks impacts masks' ability to block aerosolized particles emitted during a simulated cough, as well as to reduce exposure to aerosol particles emitted during simulated breathing.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.866
Very Positive
Moderation
Violence
0.0327609567
OpenAI Moderation v1 (007)
Harassment
0.0038743998
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009732756
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005664191
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002425147
OpenAI Moderation v1 (007)
Sexual
0.0001153199
OpenAI Moderation v1 (007)
Hate
0.0001149566
OpenAI Moderation v1 (007)
Self-Harm
7.12005E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.34077E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.38006E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.0E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
95.871
Magnitude:
77
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
15
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
32
Rochelle Walensky
00:14:41-00:15:17 (36 sec)No StressLens
The size of the aerosol particles in the experiment were designed to mimic the respiratory droplet particles most important for person-to-person transmission of SARS-CoV-2, the virus that causes COVID-19. Specifically, the experiments compared the performance of no mask, a single cloth face mask, and a single medical procedure mask with two approaches to improve the mask fit of the surgical mask: wearing a cloth mask over the procedure mask, and knotting and tucking the ear loops of the medical procedure mask.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.644
Very Positive
Moderation
Violence
0.0384312618
OpenAI Moderation v1 (007)
Harassment
0.0081221748
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00180723
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011278576
OpenAI Moderation v1 (007)
Self-Harm
0.0002550496
OpenAI Moderation v1 (007)
Sexual
0.0002237389
OpenAI Moderation v1 (007)
Hate
0.0001926435
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001458929
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001036829
OpenAI Moderation v1 (007)
Hate > Threatening
2.42432E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.5853E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Curiosity
Score:
100
Magnitude:
0.056
Code:
8002000
Url:
https://cv.iptc.org/newscodes/subjectcode/08002000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Health
Score:
96.216
Magnitude:
81
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.5
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
28
Sprache Difficult Word Count
28
Rochelle Walensky
00:15:17-00:15:48 (32 sec)No StressLens
In the study, wearing any type of mask performs significantly better than not wearing a mask, and well-fitting masks provided the greatest performance both at blocking emitted aerosols and exposure of aerosols to the receiver. In the breathing experiment, having both the source and the receiver wear masks modified to fit better reduced the receiver's exposure by more than 95 percent, compared to no mask at all.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.827
Very Positive
Moderation
Violence
0.0199018526
OpenAI Moderation v1 (007)
Harassment
0.0104626153
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0048484431
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023705421
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0023054585
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012391049
OpenAI Moderation v1 (007)
Self-Harm
0.0004806151
OpenAI Moderation v1 (007)
Sexual
0.0002038607
OpenAI Moderation v1 (007)
Sexual > Minors
6.49689E-5
OpenAI Moderation v1 (007)
Hate
4.13192E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.0888E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Environment
Score:
68.986
Magnitude:
66
Code:
7
Url:
https://fsc.al/cap-mc#7
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.2
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
25
Rochelle Walensky
00:15:48-00:16:12 (23 sec)No StressLens
These experimental data reinforce CDC's prior guidance that everyone two years of age or older should wear a mask when in public and around others in the home -- in the home, not living with you. We continue to recommend that masks should have two or more layers, completely cover your nose and mouth, and fit snugly against your nose and the sides of your face.
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
0.612
Very Positive
Moderation
Violence
0.0069029222
OpenAI Moderation v1 (007)
Harassment
0.0032727632
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002762692
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001656644
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001363693
OpenAI Moderation v1 (007)
Sexual
7.51765E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.58755E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.4093E-5
OpenAI Moderation v1 (007)
Hate
1.54428E-5
OpenAI Moderation v1 (007)
Self-Harm
4.8637E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.108E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
96.468
Magnitude:
66
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.7
Gunning-Fog Score
16.1
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
17
Rochelle Walensky
00:16:12-00:16:42 (30 sec)No StressLens
I want to be clear that these new scientific data released today do not change the specific recommendations about who should wear a mask or when they should wear one, but they do provide new information on why wearing a well-fitting mask is so important to protect you and others. Based on this new information, the CDC is updating the mask information for the public on the CDC website to provide new options on how to improve mask fit.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.27297
VADER
0.917
Very Positive
Moderation
Violence
0.000336559
OpenAI Moderation v1 (007)
Harassment
0.0001056887
OpenAI Moderation v1 (007)
Harassment > Threatening
2.82539E-5
OpenAI Moderation v1 (007)
Sexual
1.69641E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.13903E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.08525E-5
OpenAI Moderation v1 (007)
Violence > Graphic
7.8678E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.5128E-6
OpenAI Moderation v1 (007)
Hate
2.1915E-6
OpenAI Moderation v1 (007)
Self-Harm
1.0457E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.183E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Interior Policy > Personal Data Collection
Score:
100
Magnitude:
0.117
Code:
11016006
Url:
https://cv.iptc.org/newscodes/subjectcode/11016006
Wikidata_id:
Q1999831
Wikidata_label:
privacy policy
Source:
IPTC Subject
Topic:
Health
Score:
97.226
Magnitude:
79
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Politics > Parties and Movements
Score:
73
Magnitude:
0.086
Code:
11010000
Url:
https://cv.iptc.org/newscodes/subjectcode/11010000
Wikidata_id:
Q7278
Wikidata_label:
political party
Source:
IPTC Subject
Topic:
Health > Medical Research
Score:
51
Magnitude:
0.06
Code:
7005000
Url:
https://cv.iptc.org/newscodes/subjectcode/07005000
Wikidata_id:
Q2752427
Wikidata_label:
medical research
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.5
Gunning-Fog Score
19
Coleman-Liau Index
10.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
19
Rochelle Walensky
00:16:42-00:17:09 (27 sec)No StressLens
This includes wearing a mask with a moldable nose wire, knotting the ear loops on your mask, or wearing a cloth mask over a procedure or disposable mask. There are also new options available to consumers, called "mask fitters" -- small, reusable devices that cinch a cloth or medical mask and that can create a tighter fit against the face and thus improve mask performance.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.758
Very Positive
Moderation
Self-Harm > Instructions
0.028075595
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0034693625
OpenAI Moderation v1 (007)
Violence
0.0033978838
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010505541
OpenAI Moderation v1 (007)
Sexual
0.0007775386
OpenAI Moderation v1 (007)
Harassment
0.0007733587
OpenAI Moderation v1 (007)
Self-Harm
0.0005261253
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002051574
OpenAI Moderation v1 (007)
Sexual > Minors
3.15104E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.24772E-5
OpenAI Moderation v1 (007)
Hate
3.7738E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
97.195
Magnitude:
65
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.5
Gunning-Fog Score
19
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
23
Rochelle Walensky
00:17:09-00:17:35 (27 sec)No StressLens
The bottom line is this: Masks work, and they work best when they have a good fit and are worn correctly. Importantly, as per our usual guidance, masks should be used in combination with other prevention measures to offer you and your community the most protection from COVID-19. Stay at least six feet apart from other people you don't live with, avoid crowds and travel, and wash your hands often.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.877
Very Positive
Moderation
Harassment
0.0017691955
OpenAI Moderation v1 (007)
Violence
0.0011834265
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00109764
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005624488
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002141839
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.20362E-5
OpenAI Moderation v1 (007)
Hate
3.10677E-5
OpenAI Moderation v1 (007)
Sexual
2.68937E-5
OpenAI Moderation v1 (007)
Self-Harm
1.50283E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.1014E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.006E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Lifestyle and Leisure > Tourism
Score:
100
Magnitude:
0.064
Code:
10006000
Url:
https://cv.iptc.org/newscodes/subjectcode/10006000
Wikidata_id:
Q49389
Wikidata_label:
tourism
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
98
Magnitude:
0.063
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Health
Score:
96.538
Magnitude:
70
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Politics > Defense
Score:
90
Magnitude:
0.058
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.3
Flesch-Kincaid Ease
63.7
Gunning-Fog Score
13.4
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
11.4
Dale-Chall Readability Score
3.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
18
Rochelle Walensky
00:17:35-00:17:59 (23 sec)No StressLens
When we take all of these prevention steps and wear masks that fit well, we protect ourselves and we take care of each other. I also want to follow up on a question I received during Monday's briefing from Kaitlan Collins. I was asked about CDC's best estimate on the prevalence of variant cases in the United States based on current case data and volume of sequencing.
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
0.949
Very Positive
Moderation
Violence
0.0076874392
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013766243
OpenAI Moderation v1 (007)
Sexual
0.0011237101
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008869425
OpenAI Moderation v1 (007)
Harassment
0.0006863167
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002989068
OpenAI Moderation v1 (007)
Hate
2.06725E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.5998E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.1136E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0778E-6
OpenAI Moderation v1 (007)
Self-Harm
7.662E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
95.025
Magnitude:
67
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
60.4
Gunning-Fog Score
11.9
Coleman-Liau Index
10.3
SMOG Index
11.3
Automated Readability Index
10.6
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
22
Rochelle Walensky
00:17:59-00:18:23 (24 sec)No StressLens
Our latest estimate nationally is that between 1 and 4 percent of cases in the United States are due to the B117 variant, the variant most frequently found in the United States. It's important to note that some states have seen higher numbers of variant cases, and thus the proportion attributable to B117 in these states is likely to be higher than in other states.
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
0.751
Very Positive
Moderation
Violence
0.007968273
OpenAI Moderation v1 (007)
Harassment
0.0070335111
OpenAI Moderation v1 (007)
Hate
0.0006913111
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005397676
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002444219
OpenAI Moderation v1 (007)
Sexual
4.9012E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.10576E-5
OpenAI Moderation v1 (007)
Self-Harm
1.28069E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.7932E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7754E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.982E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
95.322
Magnitude:
63
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45
Gunning-Fog Score
18.5
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
14
Rochelle Walensky
00:18:23-00:18:36 (12 sec)No StressLens
We do not believe the variants are distributed equally across the country at this time. And with that, I will say thank you, and I will look forward to your questions and pass it back to Dr. Fauci. Dr. Fauci?
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
0.361
Somewhat Positive
Moderation
Harassment
0.0217321125
OpenAI Moderation v1 (007)
Sexual
0.0102485661
OpenAI Moderation v1 (007)
Violence
0.0068868918
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030988791
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014614859
OpenAI Moderation v1 (007)
Hate
0.0008704888
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002734743
OpenAI Moderation v1 (007)
Hate > Threatening
4.0243E-5
OpenAI Moderation v1 (007)
Self-Harm
6.8249E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.3204E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.642E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.8
Flesch-Kincaid Ease
82.4
Gunning-Fog Score
7.2
Coleman-Liau Index
8
SMOG Index
8.4
Automated Readability Index
1.6
Dale-Chall Readability Score
3.9
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Anthony Fauci
00:18:36-00:19:08 (32 sec)No StressLens
Thank you very much, Dr. Walensky. I would like to just take a couple of minutes to preemptively answer three types of questions that I have been asked over the last several days that I believe are important to address preemptively because they will come up. The first relates to the fact that many states, cities, and locations, who have gone from 1A to 1B, will soon or already -- or have already gone into the 1C of the phase.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
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
0.7
Very Positive
Moderation
Violence
0.029932367
OpenAI Moderation v1 (007)
Violence > Graphic
0.0254328974
OpenAI Moderation v1 (007)
Sexual
0.0040644551
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035779489
OpenAI Moderation v1 (007)
Harassment
0.0008738758
OpenAI Moderation v1 (007)
Hate
0.0007768344
OpenAI Moderation v1 (007)
Self-Harm
0.000579734
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004125752
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002425668
OpenAI Moderation v1 (007)
Hate > Threatening
7.53986E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.32423E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
24.875
Magnitude:
80
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
67.9
Gunning-Fog Score
12.5
Coleman-Liau Index
9.2
SMOG Index
11.8
Automated Readability Index
8.5
Dale-Chall Readability Score
3.2
Sprache Readability Score
4
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
Anthony Fauci
00:19:08-00:19:39 (31 sec)No StressLens
Within 1C are persons 16 to 64 years of age with underlying conditions, including those that might be immunosuppressed because of certain drugs such as glucocorticoids or corticosteroids for diseases like autoinflammatory diseases or allergic diseases. There has been a number of individuals who feel that they should not get vaccinated because of those underlying conditions.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
0.402
Positive
Moderation
Harassment
0.0153325513
OpenAI Moderation v1 (007)
Violence
0.0011059638
OpenAI Moderation v1 (007)
Self-Harm
0.0010653051
OpenAI Moderation v1 (007)
Hate
0.0008619547
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002671294
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002204993
OpenAI Moderation v1 (007)