Yahoo Article Rating

Trump taps Lutnick for trade, Oz for Medicare, McMahon for schools

Nov 20, 2024 View Original Article
  • Bias Rating

    Center

  • Reliability

    20% ReliablePoor

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -20% 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

10% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

64% : She was a major donor to Trump during his first presidential bid, and headed up the Small Business Administration in the billionaire's first administration.
62% : He is a long-time friend of Trump, and supports his vision to bring manufacturing jobs back to the U.S. and promote cryptocurrencies.
55% : The wide-reaching agency has annual spending of $2.6 trillion, and runs Medicare and Medicaid, which together provide health insurance for over 140 million Americans.
55% : The agency also handles much of the health insurance enrollment under the Affordable Care Act, also known as Obamacare.
47% : Trump also said Tuesday that he had chosen television personality and surgeon Dr. Mehmet Oz to serve as administrator of the Centers for Medicare and Medicaid Services.
37% : Trump promised during his campaign not to cut Medicare, but he is expected to let federal subsidies for Medicaid expire at the end of 2025.
29% : Trump and other Republicans have previously tried to repeal the law, but now say they only seek to overhaul it.
20% : CNN reported on Tuesday that Trump is expected to name her as education secretary instead, heading a department that Trump proposed abolishing during his campaign.

*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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