Supreme Court case claims Harvard discriminated against applicants
- Bias Rating
2% Center
- Reliability
N/AN/A
- Policy Leaning
2% Center
- Politician Portrayal
-39% 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.
Sentiments
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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-100%
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100%
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Contributing sentiments towards policy:
56% :Affirmative action policies usually work by placing requirements on institutions to admit set quotas of individuals of specific background into their organizations - those institutions often include universities and employers.55% : The schools argue that affirmative action policies - that enable them to take race into account when considering applicants - help them to create diverse learning environments.
48% : 'The way to stop discrimination on the basis of race is to stop discriminating on the basis of race,' Chief Justice John Roberts wrote in a 2007 opinion about the use of race when assigning kids to public schools.
47% : He is a major proponent of eliminating affirmative action policies and has brought eight cases to the Supreme Court
33% : But in recent decades affirmative action has become an increasingly unpopular approach to dealing with racial inequalities within institutions and in society.
*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.