Trump Runs Afoul of Military Community - Again - With Medal of Honor Comments

Aug 16, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    70% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -20% 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

40% Positive

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  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

67% : Trump suggested Thursday night that the Presidential Medal of Freedom is a "much better" award than the Medal of Honor - the highest military award for valor - because Medal of Freedom recipients aren't wounded or killed in action.
62% : Introduced at a political event by Miriam Adelson, a wealthy Republican donor to whom he presented the Presidential Medal of Freedom in 2018, Trump commented on the award with a disconcerting emphasis on her physical appearance compared to other recipients of the nation's most prestigious honors.
47% : ""I like people who weren't captured," Trump said during a videotaped event.
30% : This isn't the first time Trump has run afoul of the military community with insensitive comments about the contributions of members of the armed forces.
29% : Trump has denied making those comments.
29% : During his first presidential campaign, Trump said Sen. John McCain, a former prisoner of war in Vietnam, was not a war hero "because he was captured.
24% : They're either in very bad shape because they've been hit so many times by bullets or they're dead," Trump said.
4% : Trump's former chief of staff, Gen. John Kelly, said Trump privately referred to service members who died in the line of duty as "suckers" and "losers."

*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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