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Affirmative action: Supreme Court signals skepticism of race-conscious college admissions

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Source MSN International Edition bias rating
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.
N/AN/A
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.

-14% Somewhat 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.

-20% Somewhat Liberal

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-100%
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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.

66% Negative

Overall Sentiment

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Opposite Viewpoint
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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 -20% Liberal:

  • 5 positive sentiments and 1 negative sentiment for Affirmative Action.
  • 1 positive sentiment for Black Lives Matter Protest
  • 1 negative sentiment for Abortion

Policies:

Affirmative Action
Black Lives Matter Protest
Abortion

Sentiments

  •   Liberal
  •   Conservative
18% "They carried signs that read #defenddiversity and Asian Americans for Affirmative Action.""
16% "Explainer: How has affirmative action shaped higher education?""
8% "Admissions: Supreme Court weighs affirmative action case, but most college admissions won't be affectedAssociate Justice Clarence Thomas, who has opposed race-conscious admissions in the ..."
8% "How, the court's conservative justices asked, will supporters of the policies determine whether the goals of affirmative action had ever been reached?""
4% "Though the questions raised by the litigation are limited to higher education, experts say that a broad ruling that curbs affirmative action on American ..."
-10% "Madison Trice, 23, spoke in defense of affirmative action at a rally held outside the court.""
-24% "I mean, isn't that slicing the bologna awfully thin?Years in the making, the Harvard and UNC litigation arrives at the Supreme Court as the ..."

*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
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

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Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

59% : They carried signs that read "#defenddiversity" and "Asian Americans for Affirmative Action."
58% : Explainer: How has affirmative action shaped higher education?
54% : How, the court's conservative justices asked, will supporters of the policies determine whether the goals of affirmative action had ever been reached?
54% : Admissions: Supreme Court weighs affirmative action case, but most college admissions won't be affectedAssociate Justice Clarence Thomas, who has opposed race-conscious admissions in the past, pressed the attorney representing North Carolina for a definition of diversity and its benefits.
52% : Though the questions raised by the litigation are limited to higher education, experts say that a broad ruling that curbs affirmative action on American campuses could have a ripple effect on diversity and inclusion programs that have proliferated in the private sector, especially since the emergence of the Black Lives Matter movement.
45% :Madison Trice, 23, spoke in defense of affirmative action at a rally held outside the court.
38% : "I mean, isn't that slicing the bologna awfully thin?"Years in the making, the Harvard and UNC litigation arrives at the Supreme Court as the nation continues to wrestle with the fallout from the decision in June to overturn Roe v. Wade and end the constitutional right to abortion.

*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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