
Supreme Court to Hear Challenges to Race-based College Admissions
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
26% Somewhat Right
- Politician Portrayal
40% 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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-100%
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Contributing sentiments towards policy:
54% : Affirmative action seeks to address disadvantages and discrimination certain groups have historically faced in America and ensure equal access of opportunity in education, employment and other areas.53% : Both cases are seen as landmark challenges to affirmative action policies in university admissions.
52% : "Public schools have no legitimate interest in maintaining a precise racial balance," Students for Fair Admissions wrote in its brief to the court.
15% : Chief Justice John Roberts has been an outspoken critic of affirmative action, famously declaring in a 2006 opinion, "It is a sordid business, this divvying us up by race."
*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.