Supreme Court sharply limits EPA power to regulate greenhouse gas emissions

Jul 01, 2022 View Original Article
  • Bias Rating

    12% Somewhat Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    2% Center

  • Politician Portrayal

    -11% 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:

51% : "The only question before the Court is more narrow: whether the 'best system of emission reduction' identified by EPA in the Clean Power Plan was within the authority granted to the Agency in Section 111(d) of the Clean Air Act," the majority opinion read.
51% : The case in question, West Virginia v. EPA, stems from a petition from a mix of coal-producing states and coal companies that asked the high court justices to establish whether the Clean Air Act, one the nation's most influential environmental laws, gives the agency broad authority to restrict power plant emissions.
49% : Justice Elena Kagan's dissenting opinion said court "strips the Environmental Protection Agency of the power Congress gave it to respond to 'the most pressing environmental challenge of our time.'"Whether Congress gave EPA the authority with the Clean Air Act to respond to climate change, as the Obama-era Clean Power Plan sought to do, was at the center of the caseRoberts's opinion invoked the "major questions doctrine" to hold that the Clean Air Act does not allow the EPA the impose carbon emission caps by mandating a shift in energy generation to cleaner resources.
48% : The Supreme Court issued a ruling Thursday limiting the Environmental Protection Agency 's authority to regulate power plants' greenhouse gas emissions.

*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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