Mother Jones Article Rating

Supreme Court strikes down universities' affirmative action programs

  • Bias Rating

    10% Center

  • Reliability

    80% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    88% 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% : Today's ruling removes an "irreplaceable tool" for improving higher education, says David Hinojosa of the Lawyers' Committee for Civil Rights Under Law, who represented a coalition of students and recent graduates backing affirmative action in the North Carolina case.
51% : The decision overturns decades of the court's own precedent, which was most recently reaffirmed just seven years ago when moderate Justice Anthony Kennedy provided the swing vote to preserve affirmative action in college admissions in Fisher v. University of Texas.
47% : "We know this because every time there's been a ban on affirmative action, in Michigan, in Oklahoma, in California, in Texas," he explains, "there have been tremendous drops in racial diversity at the more selective universities.""Those state flagships," Hinojosa adds, "create pathways to leadership that will then be broken and need to be repaired."
40% : The decisions came in two separate cases brought by SFFA, a conservative group led by Edward Blum, a longtime crusader against affirmative action and voting rights who also was the engine behind the Fisher case.
35% : Roberts, who has fought affirmative action since his early days as a young lawyer in the Reagan administration, dismissed those goals as mushy and undefined ideals that would be impervious to judicial review.

*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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