Central Park 5 Sue Trump Over Debate Comments Wrongly Calling Them Guilty
- Bias Rating
50% Medium Conservative
- Reliability
70% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-63% 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
-52% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
39% : When they were first charged, for example, Trump took out a full-page ad in The New York Times, citing the case to demand that the state of New York reinstate the death penalty.33% : Even if Trump wins the presidential election, the complaint could, in theory, continue moving forward.
29% : "They admitted their guilt," Trump said in 2019 when asked if he had changed his mind or had any remorse for publishing the ad.More recent claims from the ex-president led to the lawsuit the five men submitted this week.
26% : Further, the victims of the Central Park assaults were not killed," the complaint against Trump says.
25% : Even after their exoneration, Trump has refused to apologize for his mischaracterization of the men, claiming their coerced confessions from police were proof that they had committed the crime and deserved to be executed by the state.
22% : Since the teenagers were initially accused in 1989, Trump has needlessly inserted himself into the case.
21% : Trump repeated the false claims during a presidential debate against his Democratic opponent Vice President Kamala Harris in early September.
21% : In continuing to push false claims against them, Trump has caused "severe emotional distress and reputational damage," the complaint further alleges.
*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.