Trump Enacts Petty Revenge With Weird Midnight Rant
- Bias Rating
8% Center
- Reliability
50% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-54% 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
44% Positive
- 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:
46% : That staggering number includes four people whom Trump felt compelled to call out by name: José Andrés from the President's Council on Sports, Fitness and Nutrition; Mark Milley from the National Infrastructure Advisory Council; Brian Hook from the Wilson Center for Scholars; and Keisha Lance Bottoms from the President's Export Council.42% : And if Project 2025 -- the presidential transition blueprint that Trump and his allies have since fessed up is more or less the plan -- are anything to go by, that could ultimately involve replacing tens of thousands of career employees with 54,000 pre-vetted Trump loyalists.
39% : On Monday, Trump effectively reinstated Schedule F by an executive order under a different name, streamlining the process of ridding the executive branch of employees that he considers disloyal.
*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.