Supreme Court allows Trump administration firing of probationary federal workers - UPI.com
- Bias Rating
- Reliability
85% ReliableGood
- Policy Leaning
-14% Somewhat Left
- Politician Portrayal
-58% 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
10% Positive
- Liberal
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:
54% : Other plaintiffs are VoteVets; United Nurses Associations of California/Union of Health Care Professionals; American Public Health Association; American Geophysical Union; Association of Flight Attendants-CWA, AFL-CIO; Climate Resilient Communities; and Point Blue Conservation Science.53% : "The district court's injunction was based solely on the allegations of the nine non-profit-organization plaintiffs in this case," the unattributed two-page decision states.
50% : Related Trump admin. sued over dismantling of Institute of Museum and Library Services Trump asks Supreme Court to pause thousands of federal employee rehires Pentagon plans up to 60,000 civilian job cuts His preliminary injunction required the reinstatement of fired probationary workers at the departments of Agriculture, Defense, Energy, Interior, Treasury and Veterans Affairs in the case filed by the non-profit organizations.
*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.