
NY Attorney General, coalition fight directive tying emergency funding to immigration agenda
- Bias Rating
10% Center
- Reliability
20% ReliableLimited
- Policy Leaning
10% Center
- Politician Portrayal
-62% 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
-71% 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:
42% : New York Attorney General Letitia James and 19 other attorneys general are fighting the U.S. Department of Homeland Security's new conditions binding emergency management and disaster relief funding to state immigration enforcement actions.41% : Furthermore, the coalition argues that DHS's attempt to use federal funds as leverage to compel state immigration action violates the Constitution and puts communities at risk; that Congressionally-approved funding is earmarked specifically for disaster response, not to enforce federal immigration policies; and that DHS has no legal basis to withhold emergency funding and cannot lawfully force states to choose between disaster preparedness and "long-standing public safety policies that build trust between law enforcement and immigrant communities."
*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.