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The Hill Article Rating

Breaking down the Wisconsin, Florida special elections

  • Bias Rating

    38% Somewhat Conservative

  • Reliability

    65% ReliableAverage

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -36% 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

18% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

51% : Both Fine and Patronis won their districts by roughly 14 points, underperforming Trump in November's general election.
51% : "I hope he stays at the White House with Donald Trump."
50% : "Republicans everywhere can no longer deny the toxicity of Trump 2.0," Democratic National Committee Chair Ken Martin told reporters on Wednesday, predicting a possible "blue wave" in 2026.
41% : Trump has seen massive success in general elections by targeting low-propensity voters, who tend to be less educated and come from lower income brackets.
40% : Still, Crawford overperformed former Vice President Kamala Harris in the November election and won counties including Racine and Kenosha, which Trump had won in 2024.
31% : " Historically, Republicans have underperformed when Trump has been absent at the top of the ticket, with the exception of the 2021 state elections in Virginia and New Jersey.
28% : While off-year special elections don't see the same turnout as a general election, Democrats say President Trump and Elon Musk are proving to be turnout machines for their liberal base.
27% : Some Republicans have brushed off the results, however, noting that their voters tend not to turn out in full force when Trump isn't on the ballot.

*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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