
More women join lawsuit challenging Texas' abortion laws
- Bias Rating
- Reliability
95% ReliableExcellent
- Policy Leaning
-8% Center
- Politician Portrayal
6% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
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:
50% : But maybe someone in another state could.'49% : "Under the guise of seeking clarity in the law, Plaintiffs ask the courts to broaden the statutory description of medical conditions that will allow a woman to obtain an abortion and to enshrine their preferred language in the Texas Constitution," the state wrote in its appeal.
48% : At the court hearing in July, Dr. Ingrid Skopp, a prominent anti-abortion doctor, agreed patients had received "suboptimal care" since the law went into effect, but said nonetheless, the "law is quite clear.
48% : But as the plaintiffs' experiences make clear, that's rarely how doctors and hospitals interpret the law.
48% : Others, like Manzano and Mathisen, have traveled to abortion clinics out of state.
48% : The Texas Office of the Attorney General said this was tantamount to having a court rewrite the law.
*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.