US Supreme Court's Right-wing Skeptical Of Using Race In College Admissions

  • Bias Rating

    -10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    10% Center

  • Politician Portrayal

    1% Positive

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:

55% : Harvard and UNC, like a number of other top US schools, consider an applicant's race as a factor in trying to ensure a diverse student body and representation of minorities, a policy known as "affirmative action."
44% : Previous courts have upheld affirmative action -- in 2016 by a single vote -- but the policy has been controversial from the start, and a number of white students have mounted legal challenges over the years, claiming "reverse discrimination.
41% : Justice Clarence Thomas, a longtime opponent of affirmative action, said he could not think of another case "where the court deferred to the alleged discriminator.""I've heard the word diversity quite a few times and I don't have a clue what it means," he added.
37% : "Nine states have banned affirmative action at public universities including California, where voters did so in a ballot proposition in 1996 and rebuffed an attempt to revive the policy in 2020.
35% : Strawbridge's arguments appeared to get a sympathetic hearing from the conservative justices on the court, setting the stage for another potential historic reversal like in June, when the high court overturned its landmark 1973 "Roe v. Wade" decision guaranteeing a woman's right to abortion.
23% :Conservative justices John Roberts, Brett Kavanaugh and Amy Coney Barrett repeatedly pressed the attorneys for Harvard and UNC about when there would be an "end point" to 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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