The Olympian Article Rating

Letitia James Rejects Donald Trump's Appeal Claim

  • 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

-29% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

37% : The appeal document said that, far from being victims, Trump's bankers "raved internally about their business with him and were eager for more."It added that if Trump's actions were fraud, "then that word has no meaning," and the attorney general's "power to seize and destroy private businesses" would therefore be "boundless -- and standardless."Engoron's ruling also barred Trump, Weisselberg and McConney from serving as officers or directors of any New York corporation or other legal entity in the state for three years.
36% : Trump, the Republican nominee in the 2024 presidential election, has maintained his innocence, saying the case was politically motivated.
28% : In September 2022, James sued Trump; his two adult sons, Donald Trump Jr. and Eric Trump; the Trump Organization; and two firm executives, Allen Weisselberg and Jeff McConney, over allegations that Trump had inflated his assets to get more favorable business loans.
27% : On February 16, Judge Arthur Engoron, who oversaw the trial, ruled that Trump would have to pay about $355 million in penalties, with interest bringing the figure to $454 million.
16% : Kise accused James and Engoron of trying to run Trump out of New York, which he added was bad for the city.

*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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