Supreme Court bans affirmative action in ruling against race-conscious college admissions

  • Bias Rating

    18% Somewhat Conservative

  • Reliability

    80% ReliableGood

  • Policy Leaning

    18% Somewhat Conservative

  • Politician Portrayal

    -45% 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:

53% : During oral arguments in October 2022, the court's inclination to ban affirmative action was evident.
52% : The Supreme Court ruled to ban the consideration of race as part of admissions decisions at colleges including Harvard University and the University of North Carolina, ending the decadeslong practice known as affirmative action.
51% : Banning the use of affirmative action will force elite colleges to reinvent their policies and find new ways to ensure diversity in their student populations without using race as a consideration.
49% : Several universities have expressed concerns in legal briefs that a decision to overturn affirmative action could result in fewer minority students on campuses.
45% : Meanwhile, the present 6-3 Republican-appointed majority on the court has been inching for years toward an eventual decision against affirmative action.
43% :UNIVERSAL BASIC INCOME PAYMENTS: BIG CITIES THAT HAVE JUMPED INTO PROGRAMS TO GIVE AWAY MONEYLiberal Justice Sonia Sotomayor dissented and was joined by Justices Elena Kagan and Ketanji Brown Jackson as it applied to the Harvard case.
41% : Justices since November have been mulling over two cases brought by the nonprofit group Students for Fair Admissions, a group headed by conservative legal strategist Edward Blum, a staunch critic of affirmative action policies.

*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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