AlterNet Article Rating

Trump caught up in fight he 'did not need' due to 'unnecessary trouble-making': analyst

Dec 30, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    65% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -52% 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% Negative

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

57% : ""Trump has said that I have many H-1B visas on my properties," she explained.
49% : But what Trump has used on his properties, including his vineyard and his other resorts, are workers who qualify for visas under their status as hospitality or agricultural workers.
34% : ""So not only is this a fight Trump did not need, it is needlessly dividing the base," she added.
26% : ""So in one swoop here, Musk has muddied the waters and created a problem he didn't have to and we'll see if Trump will continue to tolerate this kind of trouble-making, unnecessary trouble-making," she predicted.
23% : Speaking with host Amara Walker, the Chicago Sun-Times journalist explained, "What we're seeing here is a civil war being triggered by the unelected advisers to President Trump, so let's just see where this goes.
20% : Appearing on CNN early Sunday morning, longtime political observer Lynn Sweet claimed the timing could not be worse and it has forced Trump to take sides -- which is not being received well.
11% : "And on that point you made of Trump defending what Musk is doing and saying he will fight to the death to expand or keep H-1B visas, so while it's true that it seems that Trump is backing him, the reason he's giving is incorrect.

*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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