Yahoo! Finance Article Rating

Commentary: Why CEOs are sucking up to Trump

Dec 16, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -6% 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

7% 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:

61% : Masayoshi Son, CEO of Japanese investing giant Softbank, appeared with Trump during his Dec. 16 press conference to announce a $100 billion investment in the United States during the next four years.
59% : Bezos and at least 15 other business leaders are due to meet with Trump this week.
57% : Musk suddenly enjoys outsized influence with Trump, thanks to his late-breaking support in the 2024 election.
47% : The week before, execs from Visa, Meta, Goldman Sachs, Charles Schwab, and Citadel reportedly joined Trump backstage when he rang the opening bell at the New York Stock Exchange.
46% : Musk and tech entrepreneur Vivek Ramaswamy will run Trump's government-efficiency commission, which can't make changes on its own, but can draw up blueprints for Trump to act on through executive action or submit to Congress as legislation.
41% : Trump arrived on the political scene in 2016 as a maverick many people thought would quickly flame out.
29% : Dozens of big corporate donors stopped giving to politicians aligned with Trump.
26% : Donald Trump was the scourge of corporate America after the Jan.6, 2021, riots at the US Capitol.
24% : Had Trump lost in 2024, corporate America would have happily reverted to business as usual.

*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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