HuffPost Article Rating

Ex-Michigan GOP Leader Says He'll Vote For Kamala Harris

Oct 29, 2024 View Original Article
  • Bias Rating

    -50% Medium Liberal

  • Reliability

    70% ReliableGood

  • Policy Leaning

    -12% Somewhat Liberal

  • Politician Portrayal

    -45% 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

-17% Negative

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

64% : In 2016, Trump won Michigan by a slim margin, becoming the first Republican presidential candidate to carry the state since the 1980s.
47% : Writing in the Detroit Free Press, Hills, who teaches at the Gerald R. Ford School of Public Policy at the University of Michigan, highlighted Trump's lies, anti-immigration rhetoric and pro-Russia positions among a series of criticisms.
42% : Gary Reed, former executive director of the Michigan Republican Party, said he'll vote for Harris for president because "Trump and his allies have done grave damage to the Republican Party -- both in Michigan and nationally.""If we ever want our Republican Party back, it has to start with Donald Trump losing on Nov. 5," Reed wrote Tuesday in a letter to the editor in the Lansing City Pulse.
36% : "Hills did not say whether he intends to vote for Harris.Retaining Michigan -- part of the bloc of states known as the "blue wall" -- is crucial to Harris' chances of winning the White House, after Joe Biden took Michigan from Trump four years ago.
5% : "Elsewhere, Rusty Hills, a former Michigan GOP chair, made the case for why Trump is inferior to other former Republican presidential candidates, in an op-ed titled "Trump's no Gerald Ford.

*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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