Supreme Court Will Hear Admissions Cases, Suggesting Conservatives May Target Affirmative Action

Jan 24, 2022 View Original Article
  • Bias Rating

    -4% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -4% Center

  • Politician Portrayal

    N/A

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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
"The last time the Supreme Court weighed in on affirmative action was in 2016, when the justices unexpectedly ruled 4 to 3 to uphold the University of Texas at Austin's race-conscious admissions policy."
Positive
14% Conservative
"The Supreme Court's decision to take that case will make proponents of affirmative action nervous."
Positive
8% Conservative
"Students for Fair Admissions' goal has been to get these case before the Supreme Court so that its firm majority of conservative justices will strike down affirmative action altogether."
Positive
4% Conservative
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Bias Meter

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-100%
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100%
Conservative

Bias Meter

Contributing sentiments towards policy:

57% : The last time the Supreme Court weighed in on affirmative action was in 2016, when the justices unexpectedly ruled 4 to 3 to uphold the University of Texas at Austin's race-conscious admissions policy.
54% : The Supreme Court's decision to take that case will make proponents of affirmative action nervous.
52% : Students for Fair Admissions' goal has been to get these case before the Supreme Court so that its firm majority of conservative justices will strike down affirmative action altogether.
40% : Additionally, Chief Justice John G. Roberts Jr., who has occasionally sided with the court's liberal bloc on other key votes, has previously made clear his stance against 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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