Georgia Judge Tosses Abortion Law; Attorney General Appeals to State Supreme Court
- Bias Rating
10% Center
- Reliability
60% ReliableFair
- Policy Leaning
12% Somewhat Conservative
- Politician Portrayal
-56% 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
16% Positive
- 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:
49% : McBurney, who was appointed in 2012 by former Republican Georgia Gov. Nathan Deal, wrote that his "interpretations of 'liberty'" under the state and federal Supreme Courts "demonstrates that liberty in Georgia includes in its meaning, in its protections, and in its bundle of rights the power of a woman to control her own body, to decide what happens to it and in it, and to reject state interference with her healthcare choices.""That power is not, however, unlimited," McBurney continued.49% : "The case is Georgia v. SisterSong Women of Color Reproductive Justice Collective, No. 2022-cv-367796, in the Superior Court of Fulton County, Georgia.
45% : "Abortion is and has been a highly contentious issue for decades, yet never have the people of Georgia amended their constitution to so much as mention it," the appeal continues.
*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.