The Guardian Article Rating

Trump loses bid to delay sentencing in hush-money case

Jan 06, 2025 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    40% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -63% 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

-20% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

42% : The hush money case made Trump the first US president - sitting or former - to be charged with and convicted of a crime.
40% : The judge said Trump, 78, may appear at his sentencing either in person or virtually.
35% : Citing both presidential immunity and the demands of Trump's impending January 20 inauguration as the 47th US president, his lawyers on Monday morning said judge Juan Merchan's intention not to penalize Trump was "of no moment".
30% : Any delay would make it unlikely that Trump would be sentenced before his January 20 inauguration.
25% : After a six-week trial in state criminal court in Manhattan, a jury in May found Trump guilty on 34 felony counts of falsifying records to mask the payment prior to the 2016 election.
17% : In their Monday filing, Trump lawyers Todd Blanche and Emil Bove asked Merchan to hold off sentencing Trump while the appeals play out.
15% : In scheduling Trump's sentencing for Friday, the judge noted last week that he was not inclined to send Trump to jail.
11% : The case stemmed from a $130,000 payment Trump's former lawyer, Michael Cohen, made to the adult film actor and producer, Stormy Daniels, to keep her quiet about a sexual encounter she said she had with Trump, who denies it.

*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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