Minnesota, 19 others, sue Trump over funding cut threats
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-64% 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
-22% Negative
- 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:
41% : " Meanwhile, on Feb. 24, states received letters from the Department of Homeland Security declaring that states that "refuse to cooperate with, refuse to share information with, or even actively obstruct federal immigration enforcement reject these ideals and the history we share in common as Americans.33% : " "Cities and states who break the law and prevent us from arresting criminal illegal aliens should not receive federal funding.
33% : " The lawsuits are the latest legal actions that Democratic-led states have taken against Trump since he took office earlier this year.
27% : " Both lawsuits say that the Trump administration is violating the U.S. Constitution by trying to dictate federal spending when Congress has that power -- not the executive branch.
*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.