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Readers sound off on hospital closures, attacks on universities and climate costs

  • Bias Rating
  • Reliability

    35% ReliableAverage

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -20% 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

-25% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

76% : It was just a year ago that Trump was taking credit for the economic boon during the Biden administration because he said everyone was excited about him winning the election.
53% : The address was on Sheepshead Bay Rd., and while there are many businesses north of the bay at Emmons Ave., the driver told me it was west of Ocean Parkway in Coney Island.
52% : As the largest funder of American higher education, the federal government has both the right and responsibility to use its resources to enforce compliance with Title VI and other nondiscrimination laws.
47% : I'm glad Zelenskyy stood up to Trump.
47% : Trump says he wants to cut waste, but what he really plans to do with this money is give his billionaire friends a nice, fat tax cut, and any crumbs left over will go to the rest of us to try to placate us.
19% : A deal with President Trump is a deal with Russia!
14% : Trump lied to us about who started the Ukraine war.
14% : Trump has been kissing Putin's butt for a long time.
12% : I find it hysterical that Trump is now blaming Joe Biden for the drops in both the stock markets and GDP.
10% : My understanding is that Trump also blames Biden for the Lincoln assassination.

*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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