Supreme Court affirmative action ruling

Jun 29, 2023 View Original Article
  • Bias Rating

    62% Medium Conservative

  • Reliability

    55% ReliableFair

  • Policy Leaning

    26% Somewhat Conservative

  • Politician Portrayal

    4% 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
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

51% :Justice Clarence Thomas said that affirmative action policies are "rudderless, race-based preferences designed to ensure a particular racial mix in their entering classes.""While I am painfully aware of the social and economic ravages which have befallen my race and all who suffer discrimination," he wrote.
48% : The Supreme Court has issued its ruling regarding affirmative action on Thursday, saying that colleges and universities can no longer use race as a factor in college admissions.
44% : While many colleges and universities have argued that affirmative action keeps the student bodies on their campuses diverse, the Supreme Court has ruled, 6-3, that taking race into consideration is a violation of the 14Amendment's Equal Protection clause.
44% :Courts on the federal level had sided with the two schools against the students who brought the lawsuit, however the Supreme Court took up the case and have now ruled in favor of the group, ruling that affirmative action policies are discriminatory.

*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.

Copy link