The Hill Article Rating

What to know about H-1B visas at the center of Musk-MAGA fight

  • Bias Rating

    -32% Somewhat Liberal

  • Reliability

    60% ReliableFair

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    -25% 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
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

62% : The doxing apology followed a social media post by Trump in support of the H-1B program, saying "I have many H-1B visas on my properties.
56% : Elon Musk and Vivek Ramaswamy -- the incoming chiefs of Trump's nascent Department of Government Efficiency (DOGE) -- took the mantle of H-1B defenders, largely arguing that the visa program allows U.S. companies to hire workers they need and can't find in sufficient numbers within the country.
51% : "While Trump businesses had previously been reported to use H-2B visas to hire non-agricultural, temporary workers, they would require H-1Bs to hire foreign workers for a range of specialty occupations that require college degrees.
48% : The tech industry has also used H-1Bs as a recruitment tool for non-U.S. graduates in specialized occupations that industry leaders claim they can't fill with U.S. workers.
20% : Trump's former political strategist, Steve Bannon, stormed into the debate, calling the entire program a "scam" run by Silicon Valley oligarchs.Political activist Laura Loomer initially led the anti-H-1B side of the debate in a social media tirade against Sriram Krishnan, an Indian-born U.S. citizen whom Trump named his senior AI adviser.

*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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