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Washington Post Article Rating

Education Department, with mass layoff, cuts nearly half of its staff

  • Bias Rating

    -28% Somewhat Liberal

  • Reliability

    60% ReliableAverage

  • Policy Leaning

    -2% Center

  • Politician Portrayal

    -48% 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

-11% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

65% : He feared student loan borrowers might also struggle to receive reliable, accurate advice on student loan repayment.
44% : It was not clear what new authorities or opportunities the reductions would afford states or local districts, which have the primary responsibility of running public schools.
43% : She said test scores and education outcomes are unacceptable, but she did not say how reducing the staff would improve them. American Federation of Government Employees Local 252, which represents more than 2,800 workers at the Education Department, called on Congress to reverse the cuts.
42% : Trump said he wants to eliminate the department altogether, but that is unlikely, as it would require an act of Congress and 60 "yes" votes in the Senate, where Republicans hold only 53 seats.
21% : " Democrats said the reductions would hurt the people the department is supposed to help. "Donald Trump and Linda McMahon know they can't abolish the Department of Education on their own, but they understand that if you gut it to its very core and fire all the people who run programs that help students, families, and teachers, you might end up with a similar, ruinous result," Sen. Patty Murray (D-Washington) said in a statement.

*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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