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Washington Post Article Rating

What the data says about the electability of women and minorities

Mar 25, 2025 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    65% ReliableAverage

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -71% 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

-13% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

58% : But last year's general election suggests that, when it comes to the district-by-district, state-by-state battle for Congress, they need not worry: In the 2024 House races, neither women nor non-White candidates appear to have paid any measurable electoral penalty.
48% : Hispanic candidates enjoy an advantage against non-Hispanic candidates in majority-Hispanic districts, to the tune of roughly two points.
2% : Two women, Hillary Clinton and Kamala Harris, have now lost elections to Donald 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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