USA Today Article Rating

Supreme Court weighs affirmative action case, but most college admissions won't be affected

Oct 31, 2022 View Original Article
  • Bias Rating

    -8% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -8% Center

  • Politician Portrayal

    -36% 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

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Bias Meter

Contributing sentiments towards policy:

54% : The history of affirmative action: Landmark decisions shaped higher education, but the Supreme Court might ban it for goodAnd several organizations, including some that represent colleges, have filed briefs in support of the continued use of race in the admissions process.
51% : Observers in the college admissions space fear the court's conservative majority will strike down affirmative action, setting back efforts to diversify the nation's elite colleges.
50% : Some colleges drop test requirements: Applications pour in because of optional ACT, SAT test scores amid COVID-19Justice Sandra Day O' Connor wrote in her decision that within 25 years affirmative action would no longer be needed.
50% : Affirmative action cases spark heated debate over landmark anti-segregation caseEducation Reform Now, a non-partisan think tank focused on education, found in a recent paper that 100 universities have dropped the use of legacy admissions since 2015, including public institutions like the universities of Florida and Connecticut, but also several highly selective colleges, including Amherst College in Massachusetts and Pomona College in California.
50% : The report also said it would be even more pressing to reexamine the practice should the nation's high court strike down affirmative action.

*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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