The New York Sun Article Rating

Mark Zuckerberg Dines with Trump at Mar-a-Lago as Silicon Valley Leans Into President-Elect's Success

  • Bias Rating

    38% Somewhat Conservative

  • Reliability

    30% ReliableFair

  • Policy Leaning

    54% Medium Conservative

  • Politician Portrayal

    -15% 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

22% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

66% : Amazon's founder, Jeff Bezos, offered warm congratulations for Trump after his victory, and also, shortly before the election, ordered his editors at the Washington Post to kill their editorial endorsing Vice President Harris.
62% : Trump said on Joe Rogan's podcast shortly before the election that the chief executive of Google, Sundar Pichai, had called him privately to praise him.
47% : The Facebook founder praised Trump after he was shot earlier this year.
40% : "Eight years ago, when Trump shocked the world to win the White House, many of Silicon Valley's business titans kept the man at arms-distance for fear of appearing political and damaging their credibility as dispassionate investors and innovators.
36% : Mr. Zuckerberg has not spoken about his personal politics, though he offered praise and admiration for Trump following the assassination attempt in Pennsylvania back in July.
22% : In 2022, Trump said at a rally that Zuckerberg would be sent to prison if he spent money on this year's national election.
13% : Trump has said that Mr. Zuckerberg's decision to spend money in a "non-partisan" way on voter turnout four years ago actually swayed voters in such a way that assured Trump's defeat.

*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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