
Supreme Court rules against affirmative action
- Bias Rating
-44% Medium Liberal
- Reliability
55% ReliableFair
- Policy Leaning
-44% Medium Liberal
- Politician Portrayal
-38% 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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Politician Portrayal Analysis
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Contributing sentiments towards policy:
59% :The decision is expected to impact just about every college that uses affirmative action in admissions and some that use it in awarding financial aid.58% : The Harvard case decisions -- in 2019, by Judge Allison Burroughs, and in 2020 by the U.S. Court of Appeals for the First Circuit -- came in a much-watched case brought by a long-standing critic of affirmative action, Students for Fair Admissions, on behalf of a group of Asian American plaintiffs.
57% : The composition of the Supreme Court differs significantly from the last time it upheld the use of affirmative action in college admissions, in 2016, in a case involving the University of Texas at Austin.
54% : The brief asked the Supreme Court to repeal its 2003 decision in Grutter v. Bollinger, which upheld the use of affirmative action in admissions by the law school at the University of Michigan.
51% : The cases represented a chance for opponents of affirmative action to reverse not only the Harvard and UNC decisions but many others that have upheld the use of affirmative action since the Supreme Court ruled in the Bakke case in 1978.
38% : That decision was 4 to 3 because of the death of Justice Antonin Scalia, an opponent of affirmative action, and the recusal of Kagan, who worked on the case as solicitor general before she joined the Supreme Court.
*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.