NPR Article Rating

Trump nominates Wall Street investor Scott Bessent as treasury secretary

  • Bias Rating

    Center

  • Reliability

    95% ReliableExcellent

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -39% 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

41% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

56% : In a statement, Trump wrote: "Scott has long been a strong advocate of the America First Agenda," and that Bessent would "help me usher in a new Golden Age for the United States, as we fortify our position as the World's leading Economy, Center of Innovation and Entrepreneurialism, Destination for Capital, while always, and without question, maintaining the U.S. Dollar as the Reserve Currency of the World.
55% : He emerged from relative obscurity to become one of Trump's favorite advisers on the campaign trail, where Trump praised Bessent as "one of the top analysts on Wall Street" as well as "a nice-looking guy, too."Bessent has returned the praise, arguing that Trump's proposed tax cuts and looser regulations on businesses will boost the U.S. economy.
48% : During his first administration, Trump overhauled the tax code in 2017, with changes that are largely set to expire next year - meaning that his second administration will have an opportunity to again reshape tax policy for years to come.
11% : The central bank is supposed to be independent and insulated from political pressures, but Trump has repeatedly criticized Powell -- whom he appointed -- for not doing his bidding.

*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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