The Daily Orange Article Rating

Explaining affirmative action as the Supreme Court hears opening arguments

Nov 01, 2022 View Original Article
  • Bias Rating

    -84% Very Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -84% Very Liberal

  • Politician Portrayal

    -7% Negative

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.

Sentiments

Overall Sentiment

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  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

70% : Here's what to know about affirmative action, the upcoming Supreme Court decision and affirmative action at Syracuse University.
65% :Affirmative action at SUSU is an equal-opportunity and affirmative action institution.
59% : What is affirmative action?
58% : Institutions that receive federal funds, like public universities and colleges, are required to follow federal affirmative action policies and report their affirmative action to the federal government.
57% : The justices are seen as likely to side with SFFA and strike down affirmative action.
52% : SFFA is proposing that universities use "race-neutral" admissions policies instead of affirmative action to gather a diverse student body.
51% :Affirmative action is the process of eliminating discrimination and remedying historical discrimination by considering applicants to jobs and education institutions without regard for race, creed, national origin and other factors.
49% : The case against UNC claims affirmative action violates the equal protection clause of the Constitution and the Civil Rights Act of 1964, which states that higher education institutions that receive federal funding cannot discriminate against students based on race.

*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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