The Anti-Abortion Endgame That Erin Hawley Admitted to the Supreme Court
- Bias Rating
-30% Somewhat Liberal
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-60% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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 |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
58% : Somewhat lost in the debate around abortion pills and oral arguments that took place at the Supreme Court in FDA v. Alliance for Hippocratic Medicine on Tuesday was one deeply uncomfortable truth: The very notion of what it means to practice emergency medicine is in dispute, with anti-abortion doctors insisting upon a right to refuse treatment for any patient who doesn’t meet their test of moral purity.58% : It should come as no surprise that the same judge who tried to ban mifepristone in this case, Matthew Kacsmaryk, has also attempted to legalize anti-LGBTQ+ discrimination in health care nationwide.
29% : Don’t let the jokes about how silly the Comstock Act seems, or how speculative the theory of standing is, get in the way of taking a serious look at the claims on offer.
*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.