Justice Department Announces Results of Nationwide COVID-19 Fraud Enforcement Action - HS Today

  • Bias Rating

    2% Center

  • Reliability

    55% ReliableFair

  • Policy Leaning

    2% Center

  • Politician Portrayal

    N/A

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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
"The aouncement was made by Deputy Attorney General Lisa O. Monaco at a roundtable meeting of senior Justice Department officials, law enforcement partners, and Office of Inspector General (OIG) executives."
Positive
10% Conservative
"The law enforcement actions aounced today reflect the Justice Department's focus - working with our law enforcement partners nationwide - on bringing to justice those who stole from American businesses and families at a time of national emergency, said Deputy Attorney General Monaco."
Negative
-2% Liberal
"Prosecutors worked with law enforcement to secure forfeiture of over $231.4 million."
Negative
-4% Liberal
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Bias Meter

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Center

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

55% : The announcement was made by Deputy Attorney General Lisa O. Monaco at a roundtable meeting of senior Justice Department officials, law enforcement partners, and Office of Inspector General (OIG) executives.
49% : "The law enforcement actions announced today reflect the Justice Department's focus - working with our law enforcement partners nationwide - on bringing to justice those who stole from American businesses and families at a time of national emergency," said Deputy Attorney General Monaco.
48% : Prosecutors worked with law enforcement to secure forfeiture of over $231.4 million.

*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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