Supreme Court's Top Cases for New Term, New Justice Jackson | EDGE Media Network

Oct 04, 2022 View Original Article
  • Bias Rating

    -18% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -18% Somewhat Liberal

  • Politician Portrayal

    78% 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
"The justices are expected to decide each of the cases before taking a summer break at the end of June:AFFIRMATIVE ACTION"
Positive
26% Conservative
"If this seems familiar, it's because the high court has been asked repeatedly over the past 20 years to end affirmative action in higher education."
Positive
18% Conservative
"Already the court has said it will decide cases on a range of major issues including affirmative action, voting rights and the rights of LGBTQ people."
Negative
-12% Liberal
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Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

63% : The justices are expected to decide each of the cases before taking a summer break at the end of June:AFFIRMATIVE ACTION
59% : If this seems familiar, it's because the high court has been asked repeatedly over the past 20 years to end affirmative action in higher education.
44% : Already the court has said it will decide cases on a range of major issues including affirmative action, voting rights and the rights of LGBTQ people.
43% : She says her Christian beliefs would lead her to decline any request from a same-sex couple to design a wedding website, however, and that puts her in conflict with a Colorado anti-discrimination law.

*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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