
Trump-appointed judge strikes down workplace protections for transgender employees
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
-22% Somewhat Left
- Politician Portrayal
-63% Negative
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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
4% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
62% : In that case, a 6-3 majority of the justices found that federal law protects employees from being fired over sexual orientation and gender identity, but Kacsmaryk concluded that the ruling doesn't require that workplace accommodations be made -- only that firings would be discriminatory.57% : They argued that the EEOC's 2024 guidance is improper under Title VII of the federal Civil Rights Act, which aims to protect employees from gender discrimination, and Supreme Court precedent.
50% : He found that guidance from the EEOC requiring accommodations be made for transgender people -- including that they be allowed to use the bathroom that aligns with their gender identity, along with their pronouns and names -- exceeded the agency's statutory authority The case was filed in August 2024 by two plaintiffs: the state of Texas, whose own state departments include guidance that "employees are expected to comply with [the agency's] dress code in a manner consistent with their biological gender," and the conservative Heritage Foundation.
42% : Here, the longstanding implication of sex-specific bathrooms, locker rooms, and dress codes do not expose members of one sex "to disadvantageous terms or conditions of employment to which members of the other sex are not exposed."
*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.