Three Huge Supreme Court Cases That Could Change America
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
2% Center
- Politician Portrayal
-60% 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
N/A
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
68% : Affirmative action.66% : Affirmative action
48% : After a series of judicial bombshells in June that included eliminating the right to abortion, a Supreme Court dominated by conservatives returns to the bench -- and there are few signs that the court's rightward shift is slowing.
45% : The justices will hear an appeal from a web designer who objects to providing services for same-sex marriages in a case that pits claims of religious freedom against laws banning discrimination based on sexual orientation.
43% : Alito dissented vigorously, calling the Texas program "affirmative action gone berserk."
40% : Oct. 31, the court is set to hear two cases that "put more than 40 years of affirmative action precedents at risk," Liptak writes.
25% : His attempt to carve a middle path on abortion -- he floated allowing states to ban the procedure after 15 weeks -- ran headlong into Justice Samuel Alito's stark ruling for the majority in June, in which he declared that Roe v. Wade was "egregiously wrong from the start."
22% : Roberts has been an outspoken critic of affirmative action, writing in a 2007 opinion, "The way to stop discrimination on the basis of race is to stop discriminating on the basis of race."
*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.