
Supreme Court to hear arguments over race in college admissions
- Bias Rating
6% Center
- Reliability
N/AN/A
- Policy Leaning
42% Medium Conservative
- Politician Portrayal
12% 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:
58% : "The same Fourteenth Amendment that required public schools to dismantle segregation after Brown cannot be defeated by the whims of university administrators," the group's brief stated.57% : "It's very likely that a majority of the current right-wing justices on the court will end affirmative action as we know it in higher education, given the majority's recent comfort in overturning well-established precedent," Feingold said.
46% : What the justices say in more than two hours of arguments on these higher education cases could signal the court's approach to anti-discrimination laws in other areas, like employment.
41% : Feingold and other experts point to the decision on abortion last term to show the conservative wing of the court might not be shy in overturning precedents they don't agree with.
41% : Barrett also has not written about affirmative action in her short time as a judge or justice, Wake said.
41% : Several dozen Democratic House members, led by Rep. Robert C. Scott of Virginia, argued in a brief in the case that Congress has had decades to weigh in against the use of affirmative action in college admissions and has not considered legislation to curtail it.
39% : The Supreme Court will hear arguments in a pair of cases Monday about whether the use of race in college admissions decisions at Harvard College and the University of North Carolina is unconstitutional or violates a federal anti-discrimination law.
*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.