TruthOutTrump Picks "Herd Immunity" Proponent Jay Bhattacharya to Lead National Institutes of Health
- Bias Rating
-14% Somewhat Liberal
- Reliability
80% ReliableGood
- Policy Leaning
N/A
- Politician Portrayal
-26% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
-9% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
54% : "Together, Jay and RFK Jr. will restore the NIH to a Gold Standard of Medical Research as they examine the underlying causes of, and solutions to, America's biggest Health challenges, including our Crisis of Chronic Illness and Disease," Trump said in a statement announcing Bhattacharya's nomination.48% : Trump's and Bhattacharya's views align when it comes to so-called herd immunity, which the president-elect repeatedly advocated for as a way to deal with COVID during the last year of his first term in office.
48% : In October 2020, when Trump himself contracted the coronavirus (and had access to best-in-class medical care), he still advocated for the idea.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.