More New Trump Appointees and Rumors
- Bias Rating
6% Center
- Reliability
15% ReliablePoor
- Policy Leaning
16% Somewhat Conservative
- Politician Portrayal
2% Positive
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
4% Positive
- 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:
89% : Trump named New York Rep. Elise Stefanik as his ambassador to the United Nations, a post occupied in his first term by Nikki Haley.63% : Trump is expected to tap Stephen Miller, a key ally and immigration advisor in his first administration, as deputy chief of staff for policy, CNN reported.
42% : The second Trump appointee is Tom Homan, the former acting director of Immigration and Customs Enforcement (ICE).
27% : Homan will be in charge of U.S. border policy and will oversee "all Deportation of Illegal Aliens back to their Country of Origin," Trump wrote in a post on his social media platform Truth Social.
8% : (Trump had said earlier that Haley and former Secretary of State Mike Pompeo would not be asked to join Trump's new administration.)
*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.