Thought the Supreme Court was bad already? Things are about to get even worse
- Bias Rating
-16% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-14% Somewhat Liberal
- Politician Portrayal
-4% 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:
61% : It will hear cases on religion, free speech, LGBTQ rights, affirmative action and voting.50% : A good part of that can be attributed to the Dobbs decision overturning the right to abortion, which had been effectively enshrined in the Constitution for 50 years.
47% : Then there's Merrill v. Milligan, which is poised to destroy what's left of the Voting Rights Act, and Sackett v. EPA, which is likely to further degrade the federal government's ability to enforce clean water standards, meaning that what happened to the water systems of Flint, Michigan, and Jackson, Mississippi, could happen in your town as well.
36% : The legal precedents on affirmative action were thought to be so firmly established, according to New York Times, that the late Justice Ruth Bader Ginsburg assumed the issue had been permanently settled.
*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.