Affirmative action: Supreme Court takes up race-conscious college admissions
- Bias Rating
-24% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-22% Somewhat Liberal
- Politician Portrayal
28% Negative
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-100%
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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
N/A
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
"In 2020, California voters easily rejected a ballot measure to bring back affirmative action." | Positive | 10% Conservative |
"The future of affirmative action in higher education is on the table as the Supreme Court wades into the admissions programs at the nation's oldest public and private universities." | Positive | 6% Conservative |
"The future of affirmative action in higher education is on the table as the Supreme Court wades into the admissions programs at the nation's oldest public and private universities." | Positive | 6% Conservative |
"The Biden administration is urging the court to preserve race-conscious admissions." | Negative | -2% Liberal |
"But that was before three appointees of President Donald Trump joined, as well as Justice Ketanji Brown Jackson, the court's first Black woman." | Negative | -6% Liberal |
"The Trump administration had taken the opposite position in earlier stages of the cases." | Negative | -28% Liberal |
Bias Meter
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Contributing sentiments towards policy:
55% : In 2020, California voters easily rejected a ballot measure to bring back affirmative action.53% : The future of affirmative action in higher education is on the table as the Supreme Court wades into the admissions programs at the nation's oldest public and private universities.
53% : The future of affirmative action in higher education is on the table as the Supreme Court wades into the admissions programs at the nation's oldest public and private universities.
*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.