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Common Dreams Article Rating

Harvard Suit: Trump Admin Punishing University for 'Protecting Its Constitutional Rights' | Common Dreams

Apr 21, 2025 View Original Article
  • Bias Rating

    -46% Medium Liberal

  • Reliability

    80% ReliableGood

  • Policy Leaning

    -44% Medium Liberal

  • Politician Portrayal

    -22% 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

-22% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

60% : Hur was appointed to the United States Department of Justice by Trump in his first term, and Burck has served as counsel for the Trump Organization.
59% : " "We have witnessed outrageous attacks on our work," the coalition's pact states, citing investigations of nonprofits, terminated grants, law firms fearing retribution, threats to revoke tax-exempt status, and the weaponization of civil rights laws.
56% : "These actions have stark real-life consequences for patients, students, faculty, staff, researchers, and the standing of American higher education in the world.
49% : Like Garber's statement, the complaint highlights the sweeping impacts of "the government's efforts to use the withholding of federal funding as leverage to gain control of academic decision-making at Harvard" and other higher education institutions.
45% : The defendants are the General Services Administration, National Aeronautics and Space Administration, National Institutes of Health, National Science Foundation, and the departments of Defense, Education, Energy, Health and Human Services, and Justice, along with the leaders of those agencies.

*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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