Tucson Sentinel Article Rating

Anti-lockdown researcher Trump's pick to lead National Institutes of Health - Click pic for more:

  • Bias Rating

    -14% Somewhat Liberal

  • Reliability

    85% ReliableGood

  • Policy Leaning

    -24% Somewhat Liberal

  • Politician Portrayal

    8% Positive

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

43% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

65% : "Dr. Bhattacharya will work in cooperation with Robert F. Kennedy Jr. to direct the Nation's Medical Research, and to make important discoveries that will improve Health, and save lives," Trump wrote in the announcement.
56% : "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 wrote in his announcement.
56% : The National Institute of Allergy and Infectious Diseases, formerly run by Dr. Anthony Fauci, became one of the more well known institutes during the COVID-19 pandemic, especially when he would regularly appear beside Trump at press briefings.
44% : In addition to Kennedy, other Trump nominees for health-related positions include former TV personality and onetime Pennsylvania U.S. Senate candidate Mehmet Oz to lead the Centers for Medicare and Medicaid Services, former Florida Congressman Dave Weldon to run the Centers for Disease Control and Prevention, Dr. Marty Makary for commissioner of the Food and Drug Administration and Fox News medical contributor Dr. Janette Nesheiwat as the next surgeon general.

*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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