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Blaming violence on free speech is a very old trick | Noah Feldman

  • Bias Rating
  • Reliability

    70% ReliableGood

  • Policy Leaning

    80% Very Right

  • Politician Portrayal

    -62% 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

-22% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

41% : The defendant had been criminally convicted in federal court of violating the Espionage Act by obstructing recruitment and enlistment, as well as causing and attempting to cause insubordination in the military.
36% : It argues that political speech causes political violence, and that this speech must therefore be punished.
36% : It governs any attempt by the Trump administration to suppress free speech in the name of reducing political violence.
35% : Such claims of causation play directly into the Trump administration's strategy: using political violence as an excuse to suppress speech it doesn't like. Holmes' famous ruling in 1919 came in the case of Schenck v. United States.
34% : For more than a century, the American understanding of free speech has been that political expression may only be punished when it incites imminent violence, such as whipping up a crowd of angry people until they riot.

*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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