Yahoo News Article Rating

Trump's MAGA movement says it wants a revolution. It gets a history lesson instead

Feb 03, 2025 View Original Article
  • Bias Rating

    6% Center

  • Reliability

    70% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -34% 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

-2% Negative

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

70% : It warmed my heart. Neronha spoke during a Jan. 28 virtual announcement held less than 24 hours after the Trump administration signaled its intention to cut off trillions of federal dollars to states and nonprofits, not just in the future but immediately.
48% : Populist socialist revolutions have generally failed to provide good lives for working people when they end with a concentration of power in one office, or one person.
44% : Now thrown out by a President in a memo..." In suggesting our taxes might no longer be used to benefit the public good, but rather to advance one man's agenda, Neronha condensed a long and complicated history of taxation in this country, but his words harkened back to a basic truth.
43% : Donald Trump wants your tax funds to be filtered through his priorities, not yours.
43% : Donald Trump wants your tax funds to be filtered through his priorities, not yours.
39% : Even before the freeze was to go into effect, on the morning of Jan. 28, Medicaid stopped dispensing funds to states, Head Start providers could not reach their funding to make payroll, and federal agencies began to indicate they might not be dispensing previously guaranteed funding to a number of social services and state-run programs.

*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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