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WBAL Article Rating

Trump fires Librarian of Congress Carla Hayden, longtime leader of Baltimore's library system

  • Bias Rating
  • Reliability

    75% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -25% 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% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

59% : " While Trump "wants to ban books and tell Americans what to read -- or not to read at all, Dr. Hayden has devoted her career to making reading and the pursuit of knowledge available to everyone," Heinrich added.
52% : At a gala Wednesday, Secretary of State Marco Rubio joked that he has assumed three other positions in the Trump administration as national security adviser, acting archivist and acting director of the U.S. Agency for International Development.
24% : Hayden, whose 10-year term was set to expire next year, had come under backlash from a conservative advocacy group that accused her and other library leaders of promoting children's books with "radical" content and literary material authored by Trump opponents.
21% : Connecticut Rep. Rosa DeLauro, D-District 3, the top Democrat on the House Appropriations Committee, said Hayden was "callously fired" by Trump and demanded an explanation from the administration as to why she was dismissed. House Minority Leader Hakeem Jeffries, D-District 8, from New York, applauded Hayden as "an accomplished, principled and distinguished Librarian of Congress.
20% : The unexpected move by Trump infuriated congressional Democrats, who initially disclosed the firing.

*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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