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Supreme Court agrees to hear challenge to affirmative action at Harvard, University of North Carolina
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.
48% : It's unclear when the court will hear arguments in the legal fights, but the cases join other politically charged court battles over abortion and the Second Amendment that are currently under consideration by the justices. 47% : With their decision to take up the bids brought by students who applied to the schools, members of the organization Students for Fair Admissions, the justices will reconsider the issue of 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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