Trump picks Covid lockdown skeptic as head of key national health agency
- Bias Rating
Center
- Reliability
50% ReliableFair
- Policy Leaning
-4% Center
- Politician Portrayal
12% Positive
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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
13% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
73% : "He added: "Together, they will work hard to Make America Healthy Again!"Bhattacharya thanked Trump for the nomination on X."I am honored and humbled by President Trump's nomination of me to be the next National Institutes of Health director," he wrote.63% : "Also on Tuesday, Trump announced the following appointments: Jim O'Neill as deputy secretary of Health and Human Services, John Phelan as secretary of the Navy, Kevin Hassett as director of the White House National Economic Council, Jamieson Greer as the United States trade representative and Vince Haley as director of the Domestic Policy Council.
56% : His research focuses on the health and well-being of vulnerable populations, emphasizing the role of government programs, biomedical innovation, and economics, Trump said.
38% : In a statement, Trump said Bhattacharya would work with his Health and Human Services Secretary-designate, anti-vaccine activist and conspiracy theorist Robert F. Kennedy Jr, to "examine the underlying causes of, and solutions to, America's biggest Health challenges, including our Crisis of Chronic Illness and Disease.
32% : Earlier this month, Trump appointed former Florida congressman Matt Gaetz as US attorney general and Pete Hegseth, Fox News host and Army veteran, as secretary of defense.
*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.