The Supreme Court is about to decide a major climate court case
- Bias Rating
-16% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-24% Somewhat Liberal
- Politician Portrayal
-35% Negative
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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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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
59% : By regulating those emissions, the plan pushed states to transition to more clean energy from sources like solar and wind.55% : Democrats have been trying to pass legislation that would push utilities to use more clean energy, but it's been tied up in a congressional stalemate for months.
52% : The only source of pollution bigger than the power sector in the US is transportation -- and transitioning from gas-guzzlers to electric vehicles only becomes a cleaner choice if the grid runs on carbon-free energy.
51% : In West Virginia v. EPA, "The plaintiffs want to hem in what they call the administrative state, the E.P.A. and other federal agencies that set rules and regulations that affect the American economy," Coral Davenport writes for The New York Times.
49% : The Supreme Court is scheduled to issue opinions tomorrow on four cases that are remaining this term, which might include West Virginia v. EPA.
47% : The case, West Virginia v. Environmental Protection Agency, started out years ago as a battle over how much authority the EPA has to force power plants to cut down their pollution -- but it's turned into a bigger fight over how much power federal agencies have to enforce all kinds of regulations.
*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.