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NBC News Article Rating

Supreme Court strikes down affirmative action programs at Harvard and UNC

Jun 29, 2023 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    35% ReliableAverage

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -59% 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:

52% : The Biden administration had warned that a ruling curbing affirmative action would detrimentally affect the U.S. military, which depends on a “well-qualified and diverse officer corps” educated at military academies like West Point as well as civilian universities.
43% : Affirmative action, introduced to redress historic discrimination, has been a contentious issue for years, strongly supported by educational institutions and corporate America as being vital to fostering diversity and condemned by conservatives as being antithetical to the notion that racial equality means all races are treated the same.
43% : That then led to the 2003 Grutter ruling, which again reluctantly allowed some affirmative action programsIn 2016, the last time the Supreme Court ruled on affirmative action, the justices narrowly upheld the admissions policy at the University of Texas at Austin on a 4-3 vote, with conservative Justice Anthony Kennedy, who has since retired, casting the deciding vote.
41% : It follows in the wake of the seismic ruling in 2022 that overturned Roe v. Wade, the landmark 1973 decision that guaranteed a right to abortion.
41% : Those defending affirmative action said race-neutral policies aimed at achieving diversity will often fail, leading to declines in Black and Hispanic enrollment.

*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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