The Hill Article Rating

Trump pardons DC officers convicted in deadly moped pursuit

  • Bias Rating

    28% Somewhat Conservative

  • Reliability

    55% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -31% 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

-33% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

54% : "I'm going to be letting two officers from Washington police D.C., I believe they're from D.C., but I just approved it," Trump said Tuesday, questioned about his loyalty to police after pardoning nearly all Jan. 6 defendants, including those who attacked law enforcement.
40% : Trump in recent days alluded to the clemency he intended to grant the two officers.
36% : A jury found D.C. Metropolitan Police Department Lt. Andrew Zabavsky guilty of conspiracy to obstruct and obstructing justice after he plotted with another officer to conceal the circumstances of a 2020 traffic crash that resulted the death of 20-year-old Karon Hylton-Brown.Trump bestowed on him a "full and unconditional pardon," wiping away the conviction that resulted in a four-year prison sentence.
21% : President Trump on Wednesday pardoned two D.C. police officers who were convicted in connection with a fatal collision with a moped during a pursuit by law enforcement.

*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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