New York Post Article Rating

Cohen was already a perjurer, fraudster and tax cheat -- now he's...

May 20, 2024 View Original Article
  • Bias Rating

    50% Medium Conservative

  • Reliability

    5% ReliablePoor

  • Policy Leaning

    82% Very Conservative

  • Politician Portrayal

    -61% 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

8% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

66% : Cohen is a convicted perjurer, fraudster and tax-cheat.
57% : In fact, he pocketed more than $30,000 -- remember, the Trump Organization doubled the Red Finch payment to protect Cohen from tax liability.
47% : He claimed that he had alerted Trump about the completion of the Stormy Daniels non-disclosure agreement in a brief October 2016 phone call.
33% : Instead, prosecutors say that Cohen was principally paid to reimburse him for $130,000 he'd laid out in October 2016 to purchase the silence of a porn star, Stormy Daniels, who had threatened to go public about a tryst she says she had with Trump a decade earlier.
30% : It strains credulity to suggest, as Cohen did, that maybe he spoke about both the 14-year-old and the Stormy deal in a 90-second phone call -- one in which there is no evidence, other than Cohen's say-so, that he spoke with Trump.
22% : As the three grueling days played out, it became increasingly obvious why federal prosecutors elected not to bring a case against Trump based on Cohen's story.
13% : The revelation that Cohen stole from Trump in a deal over which Bragg has indicted Trump -- but never charged Cohen -- was yet another major wound for the credibility of the star witness.

*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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