Ohio's GOP governor vetoes ban on gender-affirming care and transgender athletes in girls' sports
- Bias Rating
-74% Very Liberal
- Reliability
65% ReliableFair
- Policy Leaning
-62% Very Liberal
- Politician Portrayal
92% Negative
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-100%
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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
15% Positive
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
"The measure would have prohibited Ohio minors from taking puberty blockers and undergoing other hormone therapies or receiving gender reassignment surgery that would further align them with their gender identity." | Positive | 8% Conservative |
"First, he directed state agencies to begin the rule-making process for restricting gender-affirming surgeries to adults." | Positive | 8% Conservative |
"The bill also would have required public K-12 schools and universities to designate separate teams for male and female sexes, and explicitly baed transgender girls and women from participating in sports that align with their gender identity." | Positive | 0% Conservative |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
54% : The measure would have prohibited Ohio minors from taking puberty blockers and undergoing other hormone therapies or receiving gender reassignment surgery that would further align them with their gender identity.54% : First, he directed state agencies to begin the rule-making process for restricting gender-affirming surgeries to adults.
50% : The bill also would have required public K-12 schools and universities to designate separate teams for male and female sexes, and explicitly banned transgender girls and women from participating in sports that align with their gender identity.
*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.