
Supreme Court Deals Death Blow to College Affirmative Action
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*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.

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*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.

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Reliability Score Analysis
The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.
- Opposite Sources as Poor for the lower number of sources with different viewpoints.
- Unique Sources as Fair for an average number of different sources.
- Multiple Sources as Excellent for a very high number of total sources.
- Multiple Quotes as Fair for an average number of quotes used in the article.
- Quote Length as Good for a higher number of words used in each quote.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 50% Fair (Grade C) Multiple Sources: 100% Excellent (Grade A) Multiple Quotes: 50% Fair (Grade C) Quote Length: 75% Good (Grade B)
Bias Score Analysis
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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Policy Leaning Analysis
This article includes the following sentiments, providing an average bias score of -10% Liberal:
- 2 positive sentiments and 1 negative sentiment for Affirmative Action.
"Even then, the ruling in favor of affirmative action passed with a slim 4-3 majority."
"I Was for Affirmative Action, but Now I Think It Should Go AwayGet the Daily Beast's biggest scoops and scandals delivered right to your inbox."
"The U.S. Supreme Court ruled against Harvard and the University of North Carolina's policies of considering race as a factor in college admissions on Thursday -- a landmark decision that will upend affirmative action policies throughout the nation."
Policies:
Affirmative ActionSentiments
- Liberal
- Conservative
2% "The U.S. Supreme Court ruled against Harvard and the University of North Carolina's policies of considering race as a factor in college admissions on ..."
-4% "I Was for Affirmative Action, but Now I Think It Should Go AwayGet the Daily Beast's biggest scoops and scandals delivered right to your ..."
*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
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Contributing sentiments towards policy:
56% : Even then, the ruling in favor of affirmative action passed with a slim 4-3 majority.51% : The U.S. Supreme Court ruled against Harvard and the University of North Carolina's policies of considering race as a factor in college admissions on Thursday -- a landmark decision that will upend affirmative action policies throughout the nation.
48% : I Was for Affirmative Action, but Now I Think It Should Go AwayGet the Daily Beast's biggest scoops and scandals delivered right to your inbox.
*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.