CNN Article Rating

Takeaways from SCOTUS affirmative action cases: Conservatives may overturn precedent allowing race as a factor in admissions | CNN Politics

  • Bias Rating

    -94% Very Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    4% Center

  • Politician Portrayal

    32% 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:

59% :Sotomayor points to how states that bar affirmative action have faredJustice Sonia Sotomayor returned repeatedly to the statistics coming the schools in states that have barred affirmative action.
49% : The court took nearly five hours to debate affirmative action policies at the University of North Carolina and Harvard.
49% : Based on Monday's oral arguments, the six conservative justices appear ready to end the use of affirmative action in admissions, overturning a precedent from 1978.
47% : The conservative wing of the court harped on the lack of clarity around when the need for affirmative action would end.
47% :Justice Brett Kavanaugh said the court will struggle if they are asked to review affirmative action again in 10 years, "if you don't have something measurable" that shows whether the diversity goals have been achieved.
46% : Multiple justices asked Ryan Park, the North Carolina solicitor general who is defending the UNC admissions program, to elaborate on how to measure that a school has achieved the diversity goals that would render affirmative action unnecessary.
45% : Here are key takeaways so far:Conservatives say defenders of affirmative action can't articulate an end point

*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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