Bureaucrats Hunker Down and Protect Themselves in Anticipation of a Trump Victory
- Bias Rating
20% Somewhat Conservative
- Reliability
70% ReliableGood
- Policy Leaning
32% Somewhat Conservative
- Politician Portrayal
-28% 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
8% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
51% : The new regulation -- which will be published in the Federal Register for public inspection on Thursday -- seeks to provide 2.2 million federal employees with defined protections that would make it difficult for a future administration to re-apply the Trump policy, known as Schedule F."We are confident that our final rule is the best reading of civil service statutes and is grounded in the civil service in the statutory language, congressional intent, legislative history and decades of applicable case law and practice," said OPM Deputy Director Rob Shriver on a press call.45% : "The people who originally proposed Schedule F have been in fear of what often is called a 'midnight regulation' -- some kind of rule that would come by, that would wipe out their ability to be able to do what they want to do if, in fact, Trump wins," Don Kettl, professor emeritus and former dean of the School of Public Policy at the University of Maryland, said in an interview.
43% : In a notice published in the Federal Register, OPM effectively killed the concept of a "Schedule F" employee created by President Trump during his first term's waning hours.
22% : "Unfortunately, this action ensures that Trump and his administration will have to deal with a civilian workforce implacably opposed to Trump's agenda and for which there is no legal remedy.
*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.