New York Post Article RatingHow California can help people eat better -- and it's not a dumb label
- Bias Rating
-10% Center
- Reliability
30% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
55% Positive
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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% Positive
- Liberal
| Sentence | Sentiment | Bias |
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Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
57% : It is a certification program (run by the government with your tax dollars), rather than a requirement that every food receive a label.52% : However, Sacramento should resist confusing the ability to write a regulation with the ability to improve a diet.
*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.