New York Post Article RatingLetters to the Editor -- Jan. 3, 2023
- Bias Rating
98% Extremely Conservative
- Reliability
30% ReliableFair
- Policy Leaning
24% Somewhat Conservative
- Politician Portrayal
N/A
Extremely
Liberal
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Moderately
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Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
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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
N/A
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
| "This shows law enforcement that they must remain vigilant always." | Positive | 24% Conservative |
| "Rep. Biggs, Rep. Gaetz, Rep. Bob Good of Virginia, Rep. Matt Rosendale of Montana and Rep. Ralph Norman of South Carolina, with respect: Grow up." | Positive | 76% Conservative |
| "Rep. Biggs, Rep. Gaetz, Rep. Bob Good of Virginia, Rep. Matt Rosendale of Montana and Rep. Ralph Norman of South Carolina, with respect: Grow up." | Positive | 76% Conservative |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Center
Somewhat Conservative
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Extremely
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-100%
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100%
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Contributing sentiments towards policy:
62% : This shows law enforcement that they must remain vigilant always.*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.