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Supreme Court to Hear Cases Against Harvard, UNC on Affirmative Action

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Source Breitbart bias rating
Author
Joel B. Pollak
Published Oct 31, 2022
Source Analysis Score
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The Source Analysis Score focuses on assessing the quality of sources and quotes used including their number, lengths, uniqueness, and diversity.
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Bias Rating
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The Bias Rating is computed based on a number of factors including bias loaded words, sentiments towards certain political policies, author bias towards politicians, and the amount of tone found in the article.

98% Extremely Conservative

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*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.

Policy Leaning
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The policy leaning score is derived from author biases for or against a certain political policy, as found in articles.

-6% Center

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*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.

Politician Portrayal
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The politician leaning score is determined by the author's tone and leaning towards the specific politician mentioned in the article.

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Overall Sentiment

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Reliability Score Analysis

The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.

  • Opposite Sources as Poor for the lower number of sources with different viewpoints.
  • Unique Sources as Poor for the lower number of different sources.
  • Multiple Sources as Poor for the lower number of total sources.
  • Multiple Quotes as Poor for the lower number of quotes used in the article.
  • Quote Length as Poor for the lower number of words used in each quote.

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.

Policy Leaning Analysis

This article includes the following sentiments, providing an average bias score of -6% Liberal:

  • 2 positive sentiments and 1 negative sentiment for Affirmative Action.

Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 0% Neutral and bias score of N/A:

1 positive sentiment for Joe Biden
1 negative sentiment for Donald Trump

Policies:

Affirmative Action

Politicians:

Joe Biden
Donald Trump

Sentiments

  •   Liberal
  •   Conservative
14% Jackson was nominated this year by Joe Biden."
4% "The U.S. Supreme Court will hear oral arguments Monday in a pair of cases that could overturn the use of racial preferences in college ..."
2% "In Regents of the University of California v. Bakke (1978), the Court permitted the use of affirmative action in college admissions to achieve diversity, ..."
-2% "In both cases, the plaintiff is a non-profit group called Students for Fair Admissions (SFFA), which alleges that affirmative action policies discriminate against Asian ..."
-16% But that was before the three appointees of former president Donald Trump joined the nine-member bench."

*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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Contributing sentiments towards policy:

52% : The U.S. Supreme Court will hear oral arguments Monday in a pair of cases that could overturn the use of racial preferences in college admissions, focusing on challenges to affirmative action policies at Harvard University and the University of North Carolina.
51% : In Regents of the University of California v. Bakke (1978), the Court permitted the use of affirmative action in college admissions to achieve diversity, provided it did not operate like a quota system.
49% : In both cases, the plaintiff is a non-profit group called Students for Fair Admissions (SFFA), which alleges that affirmative action policies discriminate against Asian Americans, who otherwise would comprise a larger share of the student body at both colleges.

*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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