
Judge blocks Trump administration's mass firings of federal workers
- Bias Rating
8% Center
- Reliability
40% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-65% Negative
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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
-24% Negative
- Liberal
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
49% : U.S. District Judge William Alsup ordered OPM to rescind its previous directives to more than two dozen agencies, including the Department of Defense, the Park Service, the Bureau of Land Management, the National Science Foundation and others identified in a lawsuit.49% : The Department of Defense, for example, has statutory authority to hire and fire," Alsup said from the bench as he handed down the ruling Thursday evening in federal court in San Francisco.
48% : A group of union plaintiffs and advocacy organizations led by the American Federation of Government Employees, which represents about 800,000 federal workers nationwide, argued in legal filings that OPM broke the law when it ordered government agencies in mid-February to fire all probationary employees, defined as those who are in the first or second year on the job.
43% : How could this all happen with each agency deciding on its own to do something so aberrational?" said Alsup, who was appointed to the bench by President Bill Clinton in 1999.
38% : "This ruling by Judge Alsup is an important initial victory for patriotic Americans across this country who were illegally fired from their jobs by an agency that had no authority to do so," said Everett Kelley, national president of the American Federation of Government Employees.
16% : Trump fired the chairwoman of that agency before her term was set to expire in July.
*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.