The Supreme Court will begin a new term with more contentious cases on its docket
- Bias Rating
6% Center
- Reliability
N/AN/A
- Policy Leaning
6% Center
- Politician Portrayal
52% 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:
57% : In other words, affirmative action, they say, is a form of discrimination.54% : In the affirmative action case, the challengers' case rests heavily on the Supreme Court's 1954 decision outlawing segregation in public schools.
47% : Kagan can see, probably better than the rest of us, that there may well be more dramatic right turns again this year on everything from affirmative action to voting rights, clean water regulations, and an asserted First Amendment right to discriminate against same-sex couples in public accommodations.
37% : Challenging these laws is Lori Smith, a web designer in Colorado who doesn't want to make designs for same-sex couples because she asserts that would violate her religious principles.
*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.