New York Daily News Article RatingHow presidents can learn from the past
- Bias Rating
10% Center
- Reliability
15% ReliablePoor
- Policy Leaning
8% Center
- Politician Portrayal
-36% 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
-20% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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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:
50% : That means that the minute an outgoing president makes a move the other side doesn't like, the howling begins even sooner and gets even louder.Is Trump likely to take heed of any of this on his way out (hopefully) in 2028?26% : Bill Clinton (2000) -- Monica Lewinsky, impeachment, grants pardons to major donors and to his brother.
6% : Yet he engineered Hillary Clinton's nomination and she then lost whereas Biden might have beaten Trump in 2016 (and his pardon of Chelsea Manning was controversial).
*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.