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Washington Monthly Article Rating

Democratic Candidates Should Shred Interest-Group Questionnaires | Washington Monthly

Mar 12, 2025 View Original Article
  • Bias Rating

    -2% Center

  • Reliability

    75% ReliableGood

  • Policy Leaning

    -12% Somewhat Liberal

  • Politician Portrayal

    -21% 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

15% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

64% : Some questionnaires obfuscate because clarity would be awkward, like the League of Conservation Voters' opposition to permitting reform, which is hidden behind a green smokescreen: "Do you oppose all legislative efforts to undermine environmental laws which would make the regulatory process work against, rather than for, strong and effective public protections?"
54% : Not every questionnaire is filled with booby traps or difficult-to-defend positions.
50% : "Will you support the development of a new, climate-friendly trade model -- including the establishment of a carbon dumping fee on polluting imports -- and the revision of trade agreements to add binding climate, environmental, labor, and human rights standards so that countries and corporations are incentivized to invest in a rapid transition that serves workers, frontline communities, and the planet?"
37% : " Many reduced complicated policy questions to landmines: ending cash bail, canceling student loans, voting for the Green New Deal, demanding no new fossil fuel infrastructure, reducing ICE and CBP funding, supporting Medicare for All, and offering a guaranteed wage.

*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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