- Bias Rating
-10% Center
- Reliability
90% ReliableExcellent
- Policy Leaning
-10% Center
- Politician Portrayal
14% 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
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"She says historically, it's been white women to whom affirmative action has been the greatest benefit." | Positive | 30% Conservative |
"James defined what affirmative action is in its most basic form." | Positive | 20% Conservative |
"(It) is a policy that encourages state institutions to take affirmative action to make sure their processes are fair, she explains." | Positive | 16% Conservative |
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Bias Meter
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Contributing sentiments towards policy:
65% : She says "historically, it's been white women" to whom affirmative action has "been the greatest benefit."60% : James defined what affirmative action is in its most basic form.
58% : "(It) is a policy that encourages state institutions to take affirmative action to make sure their processes are fair," she explains.
55% :Affirmative action policies are primarily used by universities with more selective admission processes as a way to guarantee that their student bodies are racially diverse.
54% : Osamudia James, a law professor at the University of North Carolina, who specializes in education law and civil rights, tells TODAY.com what affirmative action is and the legal arguments for Thursday's rulings.
48% : She says affirmative action is intended to reverse historical exclusion and promote diversity and inclusion.
45% : Supreme Court limits affirmative action in college admissionsNews of the Supreme Court ruling that affirmative action in higher education is unconstitutional has catapulted the policy that was legal for at least 45 years to the forefront.
*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.