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US supreme court blocks ruling that 16,000 fired federal workers must be rehired -- The Guardian

Apr 08, 2025 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    40% ReliableAverage

  • Policy Leaning

    8% Center

  • Politician Portrayal

    -66% 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

11% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

57% : "The district court's injunction was based solely on the allegations of the nine non-profit-organization plaintiffs in this case," the unsigned ruling read.
33% : Probationary employees laid off in Trump administration's purge lose reinstatement in 7-2 ruling over legal standing The US supreme court has handed Donald Trump a reprieve from a judge's ruling that his administration must rehire 16,000 probationary workers fired in its purge of the federal bureaucracy.
26% : The victory, though limited, is likely to embolden the Trump administration in the belief that the spate of legal reverses it has faced since taking office can be eventually overturned in the supreme court, which has a 6-3 conservative majority, due largely to three rightwing judges Trump nominated to the bench during his first presidency. . . .

*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.

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