A 2003 Supreme Court decision upholding affirmative action planted the seeds of its overturning, as justices then and now thought racism an easily solved problem

Jun 30, 2023 View Original Article
  • Bias Rating

    -6% Center

  • Reliability

    100% ReliableExcellent

  • Policy Leaning

    -18% Somewhat Liberal

  • Politician Portrayal

    30% 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
SentenceSentimentBias
"The primary Supreme Court-level battle over affirmative action started during the 1970s when a legal challenge reached the Supreme Court in Regents of the University of California v. Bakke."
Positive
16% Conservative
"For governmental entities, like public schools or those receiving substantial state funding, the ruling forces them to detail not only how using race will further compel government interests but also whether such a program is necessary to achieve that interest."
Positive
2% Conservative
"Trump himself later said the ruling marked a great day for America.This is the ruling everyone was waiting and hoping for and the result was amazing."
Positive
42% Conservative
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Bias Meter

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Center

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

58% : The primary Supreme Court-level battle over affirmative action started during the 1970s when a legal challenge reached the Supreme Court in Regents of the University of California v. Bakke.
51% : For governmental entities, like public schools or those receiving substantial state funding, the ruling forces them to detail not only how using race will further compel government interests but also whether such a program is necessary to achieve that interest.

*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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