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US judge temporarily blocks White House from ordering mass firing of federal workers
- Bias Rating
36% Somewhat Conservative
- Reliability
45% ReliableAverage
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-10% 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
-13% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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-100%
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100%
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Somewhat Conservative
36%
Contributing sentiments towards policy:
55% : Musk is leading the so-called Department of Government Efficiency, which has infiltrated agencies and has sought access to sensitive data including taxpayer information, according to reports.49% : The order comes amid a flurry of initiatives backed by Trump and spearheaded by the Tesla chief to shrink the size of the government.
49% : The California ruling stems from a complaint filed this month by unions and non-profit organisations, including the American Federation of Government Employees and the Coalition to Protect America's National Parks.
44% : The plaintiffs argued that "OPM lacks the constitutional, statutory, or regulatory authority to order federal agencies to terminate employees in this fashion", according to legal filings, adding that Congress authorises federal employment and related spending.
42% : Everett Kelley, national president of the American Federation of Government Employees, said the ruling was "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".
15% : A US judge has temporarily blocked the White House from ordering federal agencies to fire probationary staff in a blow to efforts by Donald Trump and his billionaire ally Elon Musk to slash the government workforce.
*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.
