Supreme Court term will tackle executive power, executive power and executive power
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-51% Negative
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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
10% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
Conservative

Contributing sentiments towards policy:
52% : Although Congress set up the system of independent regulatory agencies a century ago, the court this year has allowed Trump to fire agency commissioners at will, the only exception, so far, being the Federal Reserve Board of governors.50% : Since Trump took office for a second term, the conservative court's 6-to-3 majority has been rocking the boat big time.
50% : Although Trump didn't try to fire independent agency officers in his first term, his second term began with his firing Democratic commissioners before their fixed terms were over, and late last month, the justices said they would hear a test case involving the firing of a Federal Trade Commissioner.
50% : The court will also hear a variety of other important cases, including whether Trump exceeded his statutory authority in imposing huge tariffs.
47% : Ultimately, says William Baude, a law professor at the University of Chicago Law School, the question is whether the court "can convince the country that it would be exercising its discretion the same way if it were Joe Biden or Kamala Harris doing things that are the legal equivalent" of what Trump is doing now.
39% : The opinion prompted a slew of lower court judges from across the ideological spectrum to respond with public critiques of the Supreme Court's behavior.
*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.