The Independent Article Rating

The Supreme Court is taking on some very controversial cases this term

Oct 04, 2022 View Original Article
  • Bias Rating

    -6% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -58% 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

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Bias Meter

Contributing sentiments towards policy:

58% : The Cases: There are two cases currently on the docket dealing with Affirmative Action, Students for Fair Admissions v. Harvard College and Students for Fair Admissions, Inc. v. University of North Carolina.
57% : The cases seek to overturn Grutter v. Bollinger, a 2003 case that upheld affirmative action as a means to bolster diversity in the college admission process.
56% : The Supreme Court will determine whether Colorado is violating the First Amendment.
48% : If affirmative action is ended, we may see diversity in universities with histories of elitist practices continue to be elusive.
45% : The case involves a Colorado designer who is seeking to post a statement on her website proclaiming that she is taking a "religious" stance not to do designs for same-sex marriages.
44% : The Context: A similar case was ruled on in 2018 when a baker refused to bake a wedding cake for a same-sex couple.
39% : The Impact: At a moment when Justice Clarence Thomas has recently signaled in the Dobbs decision that he believes issues like a same-sex marriage repeal are on the table, a ruling like this would certainly strike fear into the LGBTQ community.
31% : This stance will likely inform Roberts' opinion on affirmative action and issues of voting rights.

*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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