Reparations activists come for the children
- Bias Rating
4% Center
- Reliability
30% ReliableFair
- Policy Leaning
-4% Center
- Politician Portrayal
30% 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% : To that end, members were encouraged during their June meeting to review the state's report and invite the state task force to speak to them about its recommendations for public education.52% : And after the Supreme Court's recent decision ending affirmative action in college admissions, it should be clear to every school district that "[e]liminating racial discrimination means eliminating all of it."
49% : Thanks to Proposition 209, California's Constitution categorically prohibits the district from discriminating against or granting preferential treatment to individuals or groups based on race or ethnicity in public education.
43% : The state task force's report even cites Berkeley Unified policies as a model for improving access to public schools, lauding the district's elementary school admission process that uses "diversity categories" to assign students.
*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.