New York Post Article Rating

Even post-election, the media STILL can't grasp that they've lost...

Nov 12, 2024 View Original Article
  • Bias Rating

    42% Medium Conservative

  • Reliability

    35% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -3% 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

-7% Negative

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  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

68% : Trump won Iowa for a third time.
53% : That poll, constantly touted by the media as reliable, claimed Harris was ahead of Trump by three points just days before the election.
48% : The margin was 14 points for Trump.
17% : "Given the media's slanted reporting for Harris and against Trump, the notion that journalists reflect ideological independence in their work will be a hard sell for most Americans who have lost faith in the institution.
13% : According to numbers compiled by the Media Research Center, coverage of Harris was 78% positive and only 22% negative, while the numbers for Trump were the reverse, 15% positive and 85% negative.
11% : Also on CNN came this laugher from "PBS News Hour" White House correspondent Laura Barron-Lopez, who said one reason Harris lost is that, unlike Trump, she did not have a "media ecosystem" to help her.

*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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