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UT Austin only Texas public university affected by Supreme Court's ending use of race in admissions
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.
56% : A few years later, the Texas Legislature created a new plan to mitigate some of the predicted impacts of the end of affirmative action in college admissions. 52% : The American public has debated whether universities should consider a student's race when deciding to admit them ever since affirmative action was introduced after the Civil Rights movement to correct racial imbalances in education and the workforce born out of a segregated society. 38% : The ban on affirmative action in college admissions in Texas didn't last long.
*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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