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AlterNet Article Rating

Breaking social on Alternet.org's site

Mar 25, 2025 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    90% ReliableExcellent

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -30% 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

16% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

38% : At a town hall meeting featuring former Marine Corps fighter pilot and veterans advocate Amy McGrath Thursday night in Pensacola, Valimont, a gun-control advocate and Pensacola Beach resident, was asked by a voter what the Democrats could do to fight back against the dizzying number of policy changes that Trump has enacted since Jan. 20.
28% : "I think it's part of Democrats who just want to see some of their leaders being under pressure fight back against Trump," said J. Miles Coleman, associate editor at the Center for Politics at the University of Virginia.
17% : "But even among people who voted for Donald Trump, they never thought that he would, that there would be cuts to the VA.
16% : In a new ad that began airing this week, Patronis uses Valimont's verbal criticisms of Trump as reasons why the MAGA-friendly district shouldn't vote for her.
13% : Weil says that on the campaign trail he's heard particularly strong criticism of Elon Musk, the billionaire brought in by Trump as the public face of the secretive "Department of Government Efficiency" (DOGE), which is not an actual government department but nevertheless has sought to drastically reduce federal government spending and go after what its staffers see as waste.

*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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