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New York Magazine Article Rating

Democrats' Two Hidden Weapons in the 2026 Midterms

  • Bias Rating

    10% Center

  • Reliability

    50% ReliableAverage

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -13% 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

27% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

54% : The party that can win over those voters -- Republicans converting Trump supporters into reliable GOP voters, or Democrats bringing them back into the fold more firmly -- will have a clear electoral advantage in the years ahead.
51% : It seems entirely probable that downballot Democratic strength will carry over to the midterm congressional elections of 2026, as Politico suggests -- unless, of course, 2024 reflected a more fundamental shift that will intensify even without Trump on the ballot: Heavily Hispanic and Latino areas that saw significant ticket-splitting are key to many swing districts and battleground states.
48% : And as Politico notes, right there in the 2024 returns are signs that the GOP's overperformance among Democratic base voters probably won't carry over to non-presidential elections.
45% : Underlying the 2024 election results was a subtle trend that could signal a dramatic reshaping of the electorate: a surge in ticket-splitting among Latino voters who shifted sharply toward Donald Trump but also supported Democratic House and Senate candidates.
33% : This helps explain why Democrats managed to win Senate races in four states Trump carried (Arizona, Michigan, Nevada, and Wisconsin) and no less than 13 House races in districts carried by Trump.

*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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