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POLITICO Article Rating

Moulton enters the chat

  • Bias Rating

    10% Center

  • Reliability

    100% ReliableExcellent

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -48% 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

-23% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Center

10%

Contributing sentiments towards policy:

53% : "We strongly urge ICE to release information on all the individuals detained in order to ensure transparency.
52% : Sen. Markey to Trump: Work with Congress to keep TikTok online," by John L. Micek, MassLive: "A trio of Democratic lawmakers on Capitol Hill has offered to work with the Trump White House to keep TikTok online in the United States.
48% : The group Raise Up Massachusetts, which led the campaign for the 2020 millionaires' tax, said looming cuts to Medicaid, college financial aid, public food benefits, and other federal programs "threaten to knock a massive hole in the state's budget and called on state legislators to 'take proactive action' to protect the state's residents.
44% : " The bombshell Atlantic report, which detailed how Trump officials inadvertently included the magazine's editor in chief, Jeffrey Goldberg, in a private chat laying out plans for a military strike in Yemen, underscores that point.
43% : " -- "Somerville v. Trump?
10% : As Democrats continue to search for the most salient message to push back against Trump 2.0, Moulton, a Marine veteran who served in Iraq, has concentrated his criticisms of Vice President JD Vance and Defense Secretary Pete Hegseth to highlight an argument that ought to resonate with voters.

*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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