Supreme Court agrees to hear challenge to affirmative action in higher education

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Published Jan 24, 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.

-34% Moderately Liberal

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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.

-34% Moderately Liberal

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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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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 -34% Liberal:

  • 2 positive sentiments 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:

4 negative sentiments and 1 positive sentiment for Joe Biden


Policies:

Affirmative Action

Politicians:

Joe Biden

Sentiments

  •   Liberal
26% "© Getty Supreme Court agrees to hear challenge to affirmative action in higher education""
8% "The Supreme Court on Monday agreed to hear a challenge to the use of race in college admissions decisions, teeing up a potentially landmark ..."
0% A victory for the plaintiffs would heighten pressure on President Joe Biden to deliver on his racial-equity agenda."
-4% The Biden administration urged the justices to steer clear of Monday's cases."
-14% Biden has prioritized minority appointments across the government, even as a handful of Democrats pan the dearth of Asian appointees in the cabinet and ..."
-16% Case could heighten pressure on President Biden to deliver on racial-equity agendann"
-18% And as Biden has struggled to convince lawmakers to support him, he faces an uphill battle in Monday's cases before the right-leaning Court.nn"

*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.

Extremely
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Center

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Contributing sentiments towards policy:

63% : © Getty Supreme Court agrees to hear challenge to affirmative action in higher education
54% : The Supreme Court on Monday agreed to hear a challenge to the use of race in college admissions decisions, teeing up a potentially landmark showdown over affirmative action in higher education.

*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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