NY TimesHow Higher Education Can Win America Back
- Bias Rating
- Reliability
65% ReliableAverage
- Policy Leaning
8% Center
- Politician Portrayal
-26% Negative
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Bias Score Analysis
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
36% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Liberal
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
62% : They saw higher education as a primary vehicle for changing their economic and social fortunes.35% : Good college classes, despite what one reads these days, don't just teach close-minded students to condemn privilege or to complain about systemic oppression by elites.
*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.
