Supreme Court hears case that could affect minority voting power across U.S. - CentralMaine.com

Oct 05, 2022 View Original Article
  • Bias Rating

    -8% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -6% Center

  • Politician Portrayal

    88% 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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
"A challenge to affirmative action in college admissions is set for arguments on Oct. 31."
Positive
16% Conservative
"Justices Clarence Thomas and Neil Gorsuch also had little or nothing to say in court, but Thomas in particular has voted consistently to limit the reach of anti-discrimination laws."
Negative
-18% Liberal
"Justice Samuel Alito asked Solicitor General Elizabeth Prelogar, the Biden administration's top Supreme Court lawyer who was arguing against Alabama."
Negative
-18% Liberal
"Justice Samuel Alito asked Solicitor General Elizabeth Prelogar, the Biden administration's top Supreme Court lawyer who was arguing against Alabama."
Negative
-18% Liberal
"Two appointees of President Donald Trump were on the three-judge panel that unanimously held that Alabama likely violated the landmark 1965 law by diluting Black voting strength."
Negative
-36% Liberal

Extremely
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Center

Somewhat Conservative

Moderately
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Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

58% : A challenge to affirmative action in college admissions is set for arguments on Oct. 31.
41% : Justices Clarence Thomas and Neil Gorsuch also had little or nothing to say in court, but Thomas in particular has voted consistently to limit the reach of anti-discrimination laws.

*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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