Divided Supreme Court outlaws affirmative action in college admissions, says race can't be used - West Hawaii Today
- Bias Rating
-10% Center
- Reliability
40% ReliableFair
- Policy Leaning
-10% Center
- Politician Portrayal
17% Positive
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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:
71% : Obama said in a statement that affirmative action "allowed generations of students like Michelle and me to prove we belonged.55% :Both Thomas and Sotomayor, the two justices who have acknowledged affirmative action played a role in their admissions to college and law school, took the unusual step of reading summaries of their opinions aloud in the courtroom.
55% : In 2020, California voters easily rejected a ballot measure to bring back affirmative action.
53% :Besides the conservative-liberal split, the fight over affirmative action showed the deep gulf between the three justices of color, each of whom wrote separately and vividly about race in America and where the decision might lead.
52% : Justice Clarence Thomas -- the nation's second Black justice, who had long called for an end to affirmative action -- wrote that the decision "sees the universities' admissions policies for what they are: rudderless, race-based preferences designed to ensure a particular racial mix in their entering classes."
46% : The end of affirmative action in higher education in California, Michigan, Washington state and elsewhere led to a steep drop in minority enrollment in those states' leading public universities.
42% : The Supreme Court on Thursday struck down affirmative action in college admissions, declaring race cannot be a factor and forcing institutions of higher education to look for new ways to achieve diverse student bodies.
*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.