
US Supreme Court Set to Start Potentially Tumultuous Term
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
44% Medium Right
- Politician Portrayal
-58% 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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
53% : A ruling against Harvard and UNC, some legal experts warn, could spell the end of affirmative action, a policy that American colleges and universities have followed for more than half a century to boost admissions of minority students.53% : The court could choose to uphold or restrict affirmative action rather than outlaw it.
52% : Americans are divided over affirmative action.
50% : She wants to post a message on her website explaining her opposition to designing wedding sites for same-sex couples.
49% : Tackling issues such as voting rights and affirmative action, the new term features some high-profile cases that will likely be decided along ideological lines.
45% : The case was brought by Lorie Smith, the owner of a Colorado graphic design company called 303 Creative LLC, who says she wants to build wedding websites for couples of the opposite sex but not for same-sex couples because she's opposed to gay marriage for religious reasons.
38% : Fresh off an unusually rocky term in which it ended the constitutional right to abortion, the U.S. Supreme Court is embarking on another potentially tumultuous calendar of consequential cases.
38% : In 2018, the court considered the case of a Colorado baker who refused to make a cake for a same-sex couple in violation of the state's anti-discrimination laws.
*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.