NBC New York Article Rating

Will Trump hush money case get tossed? Prosecutors to make recommendation

Nov 19, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    55% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -38% 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

9% 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:

56% : Trump, by then in the White House, signed most of the checks himself.
54% : Before the election, a federal judge repeatedly said no to the move, but Trump has appealed.
51% : The case centered on how Trump accounted for reimbursing his personal attorney for the Daniels payment.
47% : Trump has been fighting for months to overturn the verdict and could now seek to leverage his status as president-elect.
41% : Trump was a private citizen -- campaigning for president, but neither elected nor sworn in -- when Cohen paid Daniels in October 2016.
37% : The payout was to buy her silence about claims that she had sex with Trump.
33% : Trump won back the White House two weeks ago, but the legal question concerns his status as a past president, not an impending one.
33% : A jury convicted Trump in May of falsifying business records related to a $130,000 payment to porn actor Stormy Daniels in 2016.
28% : While urging Merchan to nix the conviction, Trump also has been trying to move the case to federal court.
10% : Trump said that Cohen was legitimately paid for legal services, and that Daniels' story was suppressed to avoid embarrassing Trump's family, not to influence the electorate.

*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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