Inside a Union's Fight Against Trump's Federal Job Cuts
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
-22% Somewhat Left
- Politician Portrayal
-15% Negative
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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
-18% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
65% : Engagement in locals was varied.56% : Many, if not most, supported President Trump in the 2024 election, said Mr. Trammel, a registered Republican.
55% : "At its most basic, a union is just a group of workers deciding to join together and pool their individual talents and resources to try to improve their workplace," said Andrew Huddleston, a spokesman for the American Federation of Government Employees.
54% : Mr. Trammel is the president of Local 3957 of the American Federation of Government Employees, the country's largest union of federal workers.
44% : "They have no experience with it," he added, referring to the people working at Elon Musk's Department of Government Efficiency.
27% : "It is insulting to say that we are low-productivity public workers, that we are corrupt, that we are the Deep State, that we are lazy," said Brian Kelly, vice president of a local in Michigan that represents employees of the Environmental Protection Agency.
*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.