What students can expect after Supreme Court's ruling on affirmative action

Jun 30, 2023 View Original Article
  • Bias Rating

    -12% Somewhat Liberal

  • Reliability

    95% ReliableExcellent

  • Policy Leaning

    10% Center

  • Politician Portrayal

    12% 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

Overall Sentiment

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  •   Conservative
SentenceSentimentBias
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22% Conservative
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6% Conservative
Negative
-10% Liberal
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

61% : Before, he said, affirmative action allowed them to achieve racial diversity without necessarily ensuring their campuses were socioeconomically diverse as well.
53% : "If our identity as students isn't going to be taken into account, what else am I supposed to put on my application?"Rikka Dimalanta, who will be a high school senior this fall in Los AngelesBefore, he said, affirmative action allowed them to achieve some racial diversity without necessarily ensuring their campuses were socioeconomically diverse as well.
45% : This form of affirmative action, which is common at the country's several hundred highly selective institutions, is no longer allowed.
38% : President Joe Biden condemned the Supreme Court's decision to overturn affirmative action in college admissions.
35% : And plenty of schools are in one of the states that banned affirmative action in college admissions before this week's ruling, including Arizona, California, Florida and Michigan.
32% : Some highly selective universities, including in states that banned affirmative action, already had stopped practicing legacy admissions.

*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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