
Supreme Court to hear affirmative action case - The Daily Universe
- Bias Rating
- Reliability
100% ReliableExcellent
- Policy Leaning
10% Center
- Politician Portrayal
-72% Negative
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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.
Sentiments
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
60% : Her opinion echoes a sentiment that Krewson also mentioned, a statement by Chief Justice John Roberts in another case involving affirmative action.50% : Although Molina does not believe that affirmative action should be done away with, he does support the sentiment that underlines every court decision on race-based admission policies: "Maybe in a world where things are more equitable," he said.
47% : BYU political science professor Chris Krewson explained that since the 1978 case Regents of the University of California v. Bakke, conflicts over affirmative action have been a recurring concern of the Supreme Court.
41% : One of these suspect classifications is race, which Krewson said is the reason that affirmative action cases are so highly disputed.
*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.