Judge delays Trump's hush money sentencing until at least September

Jul 03, 2024 View Original Article
  • Bias Rating

    46% Medium Conservative

  • Reliability

    25% ReliablePoor

  • Policy Leaning

    92% Extremely Conservative

  • Politician Portrayal

    -54% 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

-21% Negative

  •   Liberal
  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

51% : The postponement sets the sentencing for Sept. 18 at the earliest, well after this month's Republican National Convention, where Trump is set formally to accept the party's nomination for president in this year's race.
41% : Trump had been scheduled to face sentencing July 11 on his New York conviction on felony charges of falsifying business records.
31% : Daniels claims she had a sexual encounter with Trump in 2006 after meeting him at a celebrity golf tournament in Lake Tahoe.
30% : Trump's former lawyer Michael Cohen paid Daniels and was later reimbursed by Trump, whose company logged the reimbursements as legal expenses.
29% : Trump is the first ex-president convicted of a crime.
28% : Trump was convicted May 30 on 34 counts of falsifying business records arising from what prosecutors said was an attempt to cover up a $130,000 hush money payment to porn actor Stormy Daniels just before the 2016 presidential election.
26% : Other potential sentences include probation, a fine or a conditional discharge which would require Trump to stay out of trouble to avoid additional punishment.
22% : Trump has repeatedly denied that claim, saying at his June 27 debate with President Joe Biden: "I didn't have sex with a porn star.

*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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