
Fury as Minneapolis teachers union says WHITE teachers laid off first
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
-35% 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
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:
72% : A new contract between public schools and the teachers' union in the city of Minneapolis is causing outrage because it may see white teachers laid off at the expense of teachers of color.51% : The new deal also included double the number of nurses and counselors in elementary schools as well as a social worker in every building.
9% : A new contract between public schools and the teachers' union in the city of Minneapolis is causing outrage because it may see white teachers laid off at the expense of teachers of color Minneapolis Federation of Teachers President Greta Callahan Minneapolis Federation of Teachers President Greta Callahan posed for a photo with far left Representative Ilhan Omar, along with fellow squad members Rashida Tliab, Ayanna Pressley and Cori Bush while supporting Omar's nearly ill-fated primary bid last week
*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.