Readers sound off on being randomly assaulted, UnitedHealthcare murder and election regrets

Dec 15, 2024 View Original Article
  • Bias Rating

    -40% Somewhat Liberal

  • Reliability

    35% ReliableFair

  • Policy Leaning

    -58% Medium Liberal

  • Politician Portrayal

    1% Positive

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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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

81% : Trump will be the greatest baseball player in history!
62% : The audible gasp of the other passengers when he hit me continues to ring in my head.
57% : Jeffrey NelsonBeacon, N.Y.,: With all the restrictions being placed on climate education throughout the country, it's heartening to learn that New York City is prioritizing installing solar panels at public schools throughout the city, benefitting both the students and their communities ("Schooling the city on solar," Dec. 11).
51% : However, they need not despair; there is a solution: Hal Steinbrenner should offer Soto's position (and salary, of course, with massive sign-on bonus) to Donald Trump.
36% : Not only can Trump simply ignore the rules when they do not suit him, he can threaten the opposing team members with investigations and jail time if they obstruct him on the bases or prevent him from scoring each time he bats.
35% : Currently, disadvantaged communities shoulder the worst effects of dirty energy, a pattern that must be reversed as we aim to lift up all communities toward the promise of New York's Climate Leadership and Community Protection Act.

*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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