
How American universities will react as race-based admissions end
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
46% Medium Right
- Politician Portrayal
-44% 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
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
55% : Mr Bleemer calculates that Hispanic students who applied to the University of California system in the years immediately after the shift went on to earn about 5% less in their early careers than would have been the case had affirmative action remained legal.44% : The ban on affirmative action may weigh down application rates further.
38% : Experience in the nine states that currently forbid affirmative action in public colleges provides some clues as to what might now happen nationally.
38% : A recent study of 19 universities in states that have banned affirmative action found that the race-neutral admissions policies that have replaced it have largely not been as effective at generating African-American and Hispanic students.
*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.