AlterNet Article Rating

Legal expert makes conservative 'originalist' case against 'insurrectionist' Trump

Feb 05, 2024 View Original Article
  • Bias Rating

    -86% Extremely Liberal

  • Reliability

    70% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -44% 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

1% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

43% : READ MORE:Experts fear 'violence and chaos' if Supreme Court blocks Trump from election ballotIn an article published on February 5, The Guardian's David Smith stresses that Habig, by using "originalist" arguments, is giving the Roberts Court a "taste of their own medicine.
28% : Some of the proponents of disqualifying Trump because of Section 3 are conservatives, including J. Michael Luttig (a retired former federal judge).
26% : Habig has filed an amicus brief on behalf of historians David Blight and Jill Lepore, who, in Trump v. Anderson, are arguing that Section 3 disqualifies Trump from the 2024 presidential election.
8% : In Trump v. Anderson, the U.S. Supreme will evaluate whether the Colorado Supreme Court was right or wrong when it excluded 2024 GOP presidential frontrunner Donald Trump from the state's election ballot based on Section 3 of the U.S. Constitution's 14th Amendment.

*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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