Can Trump Federalize D.C.?
- Bias Rating
- Reliability
50% ReliableAverage
- Policy Leaning
-12% Somewhat Left
- Politician Portrayal
-60% 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
-35% Negative
- 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% : If this continues, I am going to exert my powers, and FEDERALIZE this City."46% : They are not afraid of Law Enforcement because they know nothing ever happens to them," he said, "but it's going to happen now!" Trump used the incident to renew his calls for the federalization of D.C., warning: "If D.C. doesn't get its act together, and quickly, we will have no choice but to take Federal control of the City, and run this City how it should be run, and put criminals on notice that they're not going to get away with it anymore.
*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.