
Five cases to watch as a conservative Supreme Court begins its new term
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-32% Moderately Liberal
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*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.

-32% Moderately Liberal
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

*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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Reliability Score Analysis
The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.
- Opposite Sources as Poor for the lower number of sources with different viewpoints.
- Unique Sources as Poor for the lower number of different sources.
- Multiple Sources as Poor for the lower number of total sources.
- Multiple Quotes as Poor for the lower number of quotes used in the article.
- Quote Length as Poor for the lower number of words used in each quote.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 0% Poor (Grade F) Multiple Sources: 0% Poor (Grade F) Multiple Quotes: 0% Poor (Grade F) Quote Length: 0% Poor (Grade F)
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.
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Policy Leaning Analysis
This article includes the following sentiments, providing an average bias score of -32% Liberal:
- 2 positive sentiments for Affirmative Action
- 1 positive sentiment for Gun Control
- 1 negative sentiment for Environmental Regulations
"Affirmative action"
"The central question is whether the Environmental Protection Agency’s regulatory reach extends to wetlands that are not connected to federal waters above ground — but are capable of reaching these waters below the surface."
"With many Americans are still reckoning with a term that eliminated the federal abortion right in the Dobbs decision, expanded Second Amendment and religious rights and shrank the U.S. government’s power to curb climate change, the 6-3 conservative majority court has chosen a set of highly combustible cases that court watchers believe are likely to break along ideological lines."
"Lawsuits against Harvard and the University of North Carolina ask the justices to end affirmative action in college admissions decisions by overruling a longstanding precedent that permits schools to consider race as a factor when assembling a student body."
Policies:
Affirmative ActionGun Control
Environmental Regulations
Sentiments
- Liberal
- Conservative
6% "With many Americans are still reckoning with a term that eliminated the federal abortion right in the Dobbs decision, expanded Second Amendment and religious ..."
2% "Lawsuits against Harvard and the University of North Carolina ask the justices to end affirmative action in college admissions decisions by overruling a longstanding ..."
-8% "The central question is whether the Environmental Protection Agency’s regulatory reach extends to wetlands that are not connected to federal waters above ground — ..."
*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
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Contributing sentiments towards policy:
66% : Affirmative action53% : With many Americans are still reckoning with a term that eliminated the federal abortion right in the Dobbs decision, expanded Second Amendment and religious rights and shrank the U.S. government’s power to curb climate change, the 6-3 conservative majority court has chosen a set of highly combustible cases that court watchers believe are likely to break along ideological lines.
51% : Lawsuits against Harvard and the University of North Carolina ask the justices to end affirmative action in college admissions decisions by overruling a longstanding precedent that permits schools to consider race as a factor when assembling a student body.
46% : The central question is whether the Environmental Protection Agency’s regulatory reach extends to wetlands that are not connected to federal waters above ground — but are capable of reaching these waters below the surface.
*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.