Understand the bias, discover the truth in your news. Get Started
WXOW Article Rating

Judge halts mass firings of federal workers at some agencies

  • Bias Rating

    -38% Somewhat Liberal

  • Reliability

    45% ReliableAverage

  • Policy Leaning

    N/A

  • Politician Portrayal

    -47% Negative

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

Overall Sentiment

12% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

54% : Ezell said the individual agencies were "responsible" for taking their own action to cut jobs and review workers' performance.
53% : At a hearing on Thursday afternoon, US District Judge William Alsup ordered the Office of Personnel Management to inform certain federal agencies that it had no authority to order the firings of probationary employees, including the Department of Defense.
52% : Lawyers representing the workers' interests have vowed to try to expand the board's finding to apply to thousands more probationary workers.
41% : Alsup, who was appointed by President Bill Clinton, a Democrat, has presided over many high-profile cases and is known for his blunt talk.
39% : "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," Everett Kelley, national president of the American Federation of Government Employees, said in a statement.

*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.

Copy link