Donald Trump Fights Back, Appeals $454 Million New York Fraud Judgment - EconoTimes
- Bias Rating
10% Center
- Reliability
30% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-46% 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% : The outcome of this appeal could have significant implications for Trump and his business operations, as well as broader political ramifications.56% : The original ruling by Judge Arthur Engoron concluded that Trump, his company, and top executives, including his sons Eric and Donald Trump Jr., deceived banks and insurers by inflating Trump's wealth on financial statements.
24% : They also claimed that James' office lacked the legal standing under New York law to bring the suit against Trump and his company.
21% : During the trial, Trump testified, suggesting that any incorrect valuations of his properties or wealth were due to underestimations.
21% : Engoron, however, found that Trump and his company provided the accountants with blatantly false financial data.
17% : Credit: Gage Skidmore/Flickr/CC BY-SA 2.0Attorneys for former President Donald Trump filed an appeal Monday, seeking to overturn a February ruling that found Trump and his company committed fraud and resulted in a $454 million judgment.
17% : Christopher Kise, an attorney for Trump, criticized the trial court's decisions, describing them as legally unfounded and dismissive of the undisputed facts.
17% : He accused Trump and other defendants of showing a "complete lack of contrition and remorse," which he described as bordering on pathological.
*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.