Ketanji Brown Jackson Will Recuse Herself from Harvard Race Case

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Published Mar 24, 2022
Reliability
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Biasly's Reliability Score provides a rating of the quality of sources and quotes used in the article including their uniqueness and diversity. Grades are computed on a scale from A to F with A being an Excellent Reliability.
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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.

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.

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.

12% Somewhat 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.

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.

28% Negative

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 12% Conservative:

  • 1 negative sentiment for Affirmative Action


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 28% Negative and bias score of -16% Liberal:

1 negative sentiment for Joe Biden
1 negative sentiment for Ted Cruz


Policies:

Affirmative Action

Politicians:

Joe Biden
Ted Cruz

Sentiments

  •   Conservative
-6% There were also questions about whether Judge Jackson could rule fairly on the case, given that she was specifically selected by President Joe Biden ..."
-12% "Supreme Court nominee Judge Ketanji Brown Jackson said Wednesday that she would recuse herself from an upcoming case alleging racial discrimination against Harvard University ..."
-22% Judge Jackson confirmed that she would recuse herself under questioning from Sen. Ted Cruz (R-TX)."

*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:

44% : Supreme Court nominee Judge Ketanji Brown Jackson said Wednesday that she would recuse herself from an upcoming case alleging racial discrimination against Harvard University over affirmative action if she were to be confirmed by the Senate.

*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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