Supreme Court case could end affirmative action policies once and for all

View Original Article
Published Jan 24, 2022
Source Analysis Score
Help
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
Help
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.

80% Extremely Conservative

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

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

14% Somewhat Conservative

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

*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
Help
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

N/A

Opposite Viewpoint
Category

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 14% Conservative:

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


Policies:

Affirmative Action

Sentiments

  •   Liberal
  •   Conservative
10% "The Supreme Court on Monday said it will hear a challenge to affirmative action policies in a case that will consider wither the admissions ..."
-78% "And since 2016, President Donald Trump appointed three new justices, dramatically altering the makeup of the court and potentially giving support to Justices Samuel ..."

*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

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

55% : The Supreme Court on Monday said it will hear a challenge to affirmative action policies in a case that will consider wither the admissions process at certain universities discriminates against students of Asian descent.
11% : And since 2016, President Donald Trump appointed three new justices, dramatically altering the makeup of the court and potentially giving support to Justices Samuel Alito, Clarence Thomas, and John Roberts, each of whom forcefully dissented in 2016 and harshly criticized affirmative action policies.

*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.

Copy link