
From Bakke to Fisher, evolution of affirmative action cases
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-28% Somewhat Left
- Politician Portrayal
-68% 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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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
58% : Three years later, when her case returned to the court, the justices in a narrow ruling upheld the school's use of affirmative action.56% : That would be a major shift for the court, which first ruled in favor of affirmative action policies in admissions in 1978.
55% : Frustrated that affirmative action survived anyway, Gratz was instrumental in Michigan's passage of Proposal 2, which ended race-based preferences in state university admissions.
45% : The Supreme Court will take up the issue of affirmative action again Monday -- the second time in six years -- but with the conservative majority now generally expected to end the use of race in higher education admissions.
*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.