The Supreme Court Ruled Against Affirmative Action in College Admissions -- What Students Should Know
- Bias Rating
-46% Medium Liberal
- Reliability
85% ReliableGood
- Policy Leaning
-4% Center
- Politician Portrayal
-59% 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:
54% : ," said Becky Pringle, president of the National Education Association, which filed an amicus brief advocating for affirmative action policies in the two cases the Students for Fair Admissions filed against Harvard and UNC.50% : The decision means universities can no longer consider race in addition to other factors when admitting students, ending 40-plus years of affirmative action policies intended to achieve greater racial diversity at top-tier colleges.
50% : However, research shows that the removal of affirmative action has led to declines in minority admissions at universities, even after other factors, such as class, were weighed more heavily.
49% : Universities in other states may look to these examples to see how schools work have changed admission practices without the use of affirmative action policies.
*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.