Trump appeals $454 million New York civil fraud judgment
- Bias Rating
10% Center
- Reliability
50% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-56% Negative
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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
-7% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
57% : "Judge Arthur Engoron found that Trump, his company and top executives, including his sons Eric and Donald Trump Jr., deceived banks and insurers for years, inflating Trump's wealth on financial statements in order to obtain favorable deal terms they wouldn't have otherwise received.31% : "Trump testified during the trial, claiming that if valuations of his properties or wealth were mistaken, it was because they were in fact undervalued.
22% : Engloron concluded Trump and his company gave the accountants "blatantly false financial data.""When confronted at trial with the statements, defendants' fact and expert witnesses simply denied reality, and defendants failed to accept responsibility or to impose internal controls to prevent future recurrences," Engoron wrote.
12% : Engoron in February issued a scathing ruling against Trump and his company, in which he wrote that Trump and other defendants' "complete lack of contrition and remorse borders on pathological.
10% : "Trump's attorneys also made a claim they've been arguing since before the trial, writing that James' office lacked standing under New York law to bring the 2022 suit against Trump and his company that led to fraud finding.
9% : A judge's February ruling that found former President Donald Trump and his company committed hundreds of millions of dollars in fraud should be tossed out, attorneys for Trump said in an appeal filed Monday.
*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.