PROOF POINTS: Research on increasing diversity in college admissions

  • Bias Rating

    -12% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    34% Medium Conservative

  • Politician Portrayal

    -41% Negative

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

Overall Sentiment

N/A

  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

49% : Based on this research evidence, there don't seem to be easy substitutes for affirmative action that can help foster diversity.
48% : Many legal pundits predict that affirmative action, a practice that gives preferences to groups that have been discriminated against, will be abolished when the court issues its decision next spring.
47% : After voters eliminated affirmative action in a 1996 referendum, the University of California system tried outreach programs and an automatic acceptance policy for students in the top 9 percent of their high school classes.
38% : Researchers have studied what has happened at public universities in Texas and California, which have banned the use of affirmative action since 1996.

*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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