JezebelThis Supreme Court Term Will Be Very, Very Bad
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
-53% 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:
61% : Last term's case involving the Environmental Protection Agency (West Virginia v. EPA) was about a challenge to the Clean Air Act, and this time we get a case about the Clean Water Act.51% : They're saying affirmative action is a form of discrimination.
41% : A Colorado website designer who, importantly, doesn't even do wedding websites, filed a lawsuit claiming that she wants to and disagrees with a state anti-discrimination law that would make her accept gay clients.
37% : Conservative activist Edwin Blum is spearheading lawsuits against affirmative action policies at both Harvard University and the University of North Carolina via his group Students for Fair Admissions.
36% : Again, these are the biggies on the docket as of today -- they could decide to take more cases, or be forced to weigh in on lower court disputes, including on abortion!
*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.
