New York Post Article RatingRestore 'Broken Windows' policing to close the window on crime
- Bias Rating
-10% Center
- Reliability
40% ReliableFair
- Policy Leaning
-10% Center
- Politician Portrayal
26% 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.
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
27% : The idea is that "routine" fare-evasion enforcement is "a way to ferret out more serious misconduct," says John Jay College of Criminal Justice professor and ex-cop Eugene O'Donnell.*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.