What's at stake as the Supreme Court considers banning race in college admissions: 'Basic fairness'
- Bias Rating
98% Very Conservative
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
-10% 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.
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Contributing sentiments towards policy:
61% : TEACHERS UNIONS, MAJOR CORPORATIONS ASK SUPREME COURT TO ALLOW AFFIRMATIVE ACTION IN COLLEGE ADMISSIONS59% : A TIMELINE OF SUPREME COURT CASES ON AFFIRMATIVE ACTION IN COLLEGE ADMISSIONS
56% : Feingold emphasized the importance of affirmative action in employment, saying it remains "a potent mechanism to make processes just more fair and neutral, such that the people who should have been there from the beginning are there now."Atkins also warned that depending on what the court says in their ruling, there could be a "domino effect" in other areas.
53% : Because of this, Jonathan Feingold, an associate professor at Boston University School of Law, said it should be "concerning" that the Supreme Court may do away with affirmative action on college campuses.
49% : The whole point of affirmative action was not to reward historically advantaged groups.
49% : And while supporters of affirmative action warn of a decrease in diversity on campuses, Jeremy Rovinsky, a prosecutor and former dean of the National Paralegal College, predicted that doing away with race as a consideration in admissions policies could increase the number of Asian Americans in higher ed institutions.
41% : "When it comes to affirmative action, the elite will cry and scream and get very upset... but these sorts of policies have always been extremely unpopular in the American public, even in California."
*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.