
Newsom calls men in women's sports 'deeply unfair,' angers LGBT activists
- Bias Rating
68% Medium Conservative
- Reliability
80% ReliableGood
- Policy Leaning
56% Medium Conservative
- Politician Portrayal
-30% 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
40% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
60% : " Last month, Trump signed an executive order establishing it as "the policy of the United States to rescind all funds from educational institutions that deprive women and girls of fair athletic opportunities" by allowing trans-identified men to compete on women's sports teams.44% : Examples of males dominating women's sports, most notably trans-identified swimmer Lia Thomas breaking women's swimming record after joining the women's team following three years of competition on the men's team, have also generated outcry and calls for government action on the matter.
27% : " Polling conducted after the 2024 election found one of the most commonly cited reasons for backing Trump among swing voters who ultimately supported him over Harris was the belief that the Democratic presidential nominee was "focused more on cultural issues like transgender issues rather than helping the middle class.
24% : He described an ad from the campaign of now-President Donald Trump asserting that 2024 Democratic presidential nominee Kamala Harris is for "they/them," referring to voters who do not identify with either gender, while Trump "is for you" as "devastating" for his party.
23% : Trump brought up the plight of Payton McNabb, a former high school volleyball player who suffered serious injuries after a trans-identified male athlete forcefully hit the ball in her direction.
*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.