The Supreme Court's biggest decisions are coming. Here's what they could say
- Bias Rating
- Reliability
5% ReliableLimited
- Policy Leaning
-10% Center
- Politician Portrayal
-59% 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:
61% : The Supreme Court has previously approved of the use of affirmative action in higher education in decisions reaching back to 1978.55% : Here’s a look at some of the cases the court has left to decide from the term that began back in October:AFFIRMATIVE ACTIONThe survival of affirmative action in higher education is the subject of two related cases, one involving Harvard and the other the University of North Carolina.
50% : The case involves a Christian graphic artist from Colorado who wants to begin designing wedding websites but objects to making wedding websites for same-sex couples.
44% : As is typical, the last opinions to be released cover some of the most contentious issues the court has wrestled with this term including affirmative action, student loans and gay rights.
32% : STUDENT LOANSThe justices will also decide the fate of President Joe Biden’s plan to wipe away or reduce student loans held by millions of Americans.
*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.
AP News