Justices to hear challenge to race in college admissions - Providence Business News
- Bias Rating
Center
- Reliability
N/AN/A
- Policy Leaning
-2% Center
- Politician Portrayal
-16% 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:
58% : A decision against the schools could mean the end of affirmative action in college admissions.51% : The conservative-dominated Supreme Court on Monday agreed to hear a challenge to the consideration of race in college admissions, adding another blockbuster case to a term with abortion, guns, religion and COVID-19 already on the agenda.
50% : The court already has heard arguments in cases that could expand gun rights and religious rights and also roll back abortion rights in a direct challenge to the Roe v. Wade ruling from 1973.
42% : In the Regents of the University of California v. Bakke, Powell approvingly cited Harvard as "an illuminating example" of a college that takes "race into account in achieving the educational diversity valued by the First Amendment."
*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.