The Chicago Sun-Times Article Rating- Bias Rating
-24% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
4% Center
- Politician Portrayal
34% 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 |
|---|---|---|
| "And it happened without angry rants about affirmative action, identity politics, quotas, and other nonsense spewed by some loudmouths on the right who were incensed at Biden's promise to nominate a Black woman." | Negative | -18% Liberal |
| "Biden's nomination, fulfilling a promise he made during his campaign, is worth celebrating in its own right." | Positive | 24% Conservative |
| "In choosing Jackson, Biden made it clear that diversity was a priority." | Positive | 24% Conservative |
Upgrade your account to obtain complete site access and more analytics below. | ||
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:
41% : And it happened without angry rants about "affirmative action," "identity politics," "quotas," and other nonsense spewed by some loudmouths on the right who were incensed at Biden's promise to nominate a Black woman.*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.