Opposition to Dismissing Trump's Hush Money Conviction by New York Prosecutors News

Nov 19, 2024 View Original Article
  • Bias Rating

    56% Medium Conservative

  • Reliability

    20% ReliablePoor

  • Policy Leaning

    92% Very Conservative

  • Politician Portrayal

    -60% 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

18% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

34% : If the case proceeds to sentencing, Trump could face a range of punishments, including a fine, probation, or up to four years in prison.
25% : Despite the allegations, Trump denies any wrongdoing.
25% : As a state case, Trump would not be able to pardon himself once he returns to office, as presidential pardons apply only to federal crimes.
25% : Special counsel Jack Smith is working to wind down the federal cases against Trump, including those related to his efforts to overturn the 2020 election loss and hoarding classified documents at his Mar-a-Lago estate.
24% : Trump was convicted in May for falsifying business records to hide a scheme to influence the 2016 election by paying hush money to suppress a story of extramarital sex.
23% : Trump has criticized the hush money verdict as a "rigged, disgraceful" outcome, claiming it was part of a Democrat-led "witch hunt" to undermine his presidential campaign.

*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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