The Hechinger Report Article RatingPROOF POINTS: Research on increasing diversity in college admissions
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
34% Somewhat Right
- Politician Portrayal
-41% 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
N/A
- 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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Contributing sentiments towards policy:
49% : Based on this research evidence, there don't seem to be easy substitutes for affirmative action that can help foster diversity.48% : Many legal pundits predict that affirmative action, a practice that gives preferences to groups that have been discriminated against, will be abolished when the court issues its decision next spring.
47% : After voters eliminated affirmative action in a 1996 referendum, the University of California system tried outreach programs and an automatic acceptance policy for students in the top 9 percent of their high school classes.
38% : Researchers have studied what has happened at public universities in Texas and California, which have banned the use of affirmative action since 1996.
*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.