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NY Times Article Rating

Why the Trump Tariffs Supreme Court Case Could Be Fun Listening

  • Bias Rating
  • Reliability

    75% ReliableGood

  • Policy Leaning

    -30% Somewhat Left

  • Politician Portrayal

    -38% 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

33% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

64% : The court held that gay and trans individuals are protected against employment discrimination by Title VII of the Civil Rights Act of 1964, which prohibits job-related discrimination on the basis of sex.
53% : This is a recent invention that the conservative justices deployed to block several of President Joe Biden's initiatives, including his student loan forgiveness plan, and impede his efforts to address climate change.
52% : Justice Gorsuch wrote that unfavorable treatment of gay or trans people because of their sexual identity is clearly discrimination on the basis of sex.
45% : The International Emergency Economic Powers Act, signed by President Jimmy Carter in 1977, represented a congressional effort to limit presidents' reliance on invoking emergency powers when revising policies on international trade.
44% : As a brief filed by nine constitutional scholars points out, the framers of the Constitution "unmistakably assigned to Congress" the authority to "lay and collect Taxes, Duties, Imposts and Excises."
39% : The problem, as the Court of Appeals for the Federal Circuit pointed out, is that "notably, IEEPA does not use the words 'tariffs' or 'duties,' nor any similar terms, like 'customs,' 'taxes' or 'imposts.'"

*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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