- Bias Rating
6% Center
- Reliability
- Policy Leaning
6% Center
- Politician Portrayal
8% Positive
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Center
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Conservative
-100%
Liberal
100%
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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
15% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"Members of the US Supreme Court expressed skepticism today about arguments from a group of anti-abortion organizations and physicians seeking to restrict use of the abortion drug mifepristone in the United States." | Positive | 32% Conservative |
"But shouldn't somebody be able to challenge that in court?The case started in 2022, when the anti-abortion group filed suit against the FDA claiming that the drug's approval in 2000 -- and subsequent decisions that facilitated access to the drug -- had potentially serious and life-threatening effects on women and girls." | Negative | -14% Liberal |
"If the Supreme Court decides that the anti-abortion group has no standing, the case might be dismissed, Temkin says." | Negative | -26% Liberal |
Extremely
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-100%
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100%
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Contributing sentiments towards policy:
66% : Members of the US Supreme Court expressed skepticism today about arguments from a group of anti-abortion organizations and physicians seeking to restrict use of the abortion drug mifepristone in the United States.43% : "But shouldn't somebody be able to challenge that in court?"The case started in 2022, when the anti-abortion group filed suit against the FDA claiming that the drug's approval in 2000 -- and subsequent decisions that facilitated access to the drug -- had "potentially serious and life-threatening effects on women and girls.
37% : If the Supreme Court decides that the anti-abortion group has no standing, the case might be dismissed, Temkin says.
*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.