
Judge orders White House to temporarily halt sweeping government layoffs
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-63% 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
-7% 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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-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
62% : US district judge Susan Illston in San Francisco sided with a group of unions, non-profits and local governments in blocking large-scale mass layoffs known as "reductions in force" for 14 days.58% : She gave similar examples at local offices of the Farm Service Agency, the Social Security Administration and Head Start, which supports early learning.
55% : The president urged agencies to eliminate duplicative roles, unnecessary management layers and non-critical jobs while automating routine tasks, closing regional field offices and reducing the use of outside contractors.
50% : "Each of us represents communities deeply invested in the efficiency of the federal government - laying off federal employees and reorganizing government functions haphazardly does not achieve that.
38% : Dozens of lawsuits have challenged the work of the so-called "department of government efficiency" (Doge) on various grounds including violating privacy laws and exceeding its authority, with mixed results.
27% : Trump directed government agencies in February to work with Doge to identify targets for mass layoffs as part of the administration's restructuring plans.
*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.