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More Than 500 Researchers, Physicians Rally at Boston Common to Protest Trump's Attacks on Research Funding | News | The Harvard Crimson

Mar 08, 2025 View Original Article
  • Bias Rating

    -24% Somewhat Liberal

  • Reliability

    55% ReliableAverage

  • Policy Leaning

    -8% Center

  • Politician Portrayal

    -59% 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

-20% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

58% : With the NIH funding in doubt, however, Daly said she was feeling "anxiety, sadness, fear." "This funding is key to my future career, and is the key to continued progress in the sphere of biomedical research and patient care in the United States," Daly said.
54% : "Science is a threat to people who want to have government policy made out of fear and favor, as opposed to based on evidence.
48% : Boston City Councilor Sharon Durkan -- whose district is home to Harvard Medical School, the Harvard School of Public Health, and several Harvard-affiliated hospitals -- said the funding cuts would have "devastating" consequences for Boston's economy and thrust the district into a "mini-recession." "Most of my constituents, their jobs have some connection to research, science, and academia," Durkan said in an interview after her speech.
29% : BOSTON -- More than 500 researchers, physicians, and students rallied at Boston Common on Friday to protest President Donald Trump's efforts to cut federal funding for scientific research, lay off federal employees, and eliminate diversity, equity, and inclusion programming at universities.

*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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