KIRO Article RatingSupreme Court to hear arguments in university affirmative action suits
- Bias Rating
-12% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
8% Center
- Politician Portrayal
12% Negative
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
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
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
| "In the University of North Carolina case, Blum's group is arguing in the North Carolina case that the college's use of affirmative action in its admissions process violates The 14th Amendment by discriminating against Asian American and whites." | Negative | -8% Liberal |
| "US President Joe Biden on Saturday called Russia's move purely outrageous and said it would increase starvation." | Negative | -20% Liberal |
| "US Secretary of State Antony Blinken accused Moscow of weaponizing food." | Negative | -48% Liberal |
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:
46% : In the University of North Carolina case, Blum's group is arguing in the North Carolina case that the college's use of affirmative action in its admissions process violates The 14th Amendment by discriminating against Asian American and whites.*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.