Daily Mail Online Article Rating

Trump picks Jay Bhattacharya, who backed COVID herd immunity, to...

Nov 27, 2024 View Original Article
  • Bias Rating

    16% Somewhat Conservative

  • Reliability

    90% ReliableExcellent

  • Policy Leaning

    14% Somewhat Conservative

  • Politician Portrayal

    -16% Negative

Bias 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

Overall Sentiment

-4% Negative

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  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

58% : Trump, in a statement Tuesday evening, said Bhattacharya, a 56-year-old physician and professor at Stanford University School of Medicine, will work in cooperation with Robert F. Kennedy Jr., his pick to lead the Department of Health and Human Services, "to direct the Nation´s Medical Research, and to make important discoveries that will improve Health, and save lives.
50% : Trump said O´Neill "will oversee all operations and improve Management, Transparency, and Accountability to, Make America Healthy Again," the president-elect announced.O´Neill is the only one of Trump´s health picks so far who brings previous experience working inside the bureaucracy to the job.
48% : Trump´s previous choices to lead public health agencies - including Kennedy, Dr. Mehmet Oz for Centers for Medicare and Medicaid Services administrator and Dr. Marty Makary for Food and Drug Administration commissioner - have all been Washington outsiders who are vowing to shake up the agencies.
47% : Trump on Tuesday also announced that Jim O´Neill, a former HHS official, will serve as deputy secretary of the sprawling agency.
42% : The National Institutes of Health falls under HHS, which Trump has nominated Kennedy to oversee.

*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.

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