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Mediaite Article Rating

'Tech Is Coming to Trump': Maggie Haberman Dishes on Zuckerberg's Surprising Mar-a-Lago Visit

Nov 28, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    60% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -58% 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

6% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

44% : Haberman noted the broader implications: "We are seeing, as with a number of industries, but certainly the tech industry, a lot of people coming to Trump and not the other way around.
42% : "Stephen Miller is Trump's most powerful advisor, and also the person who largely drives or shares with Trump his hardline immigration agenda.
39% : Speaking to CNN host John Berman, Haberman noted Zuckerberg's striking efforts to rebuild ties with the president-elect, despite years of public clashes over Meta's treatment of conservatives: "We're seeing a lot of people in tech coming to Trump, not the other way around," she noted,"So we're still learning about it, John," Haberman explained.
39% : It's not clear whether Zuckerberg saw this meeting as significant or Trump saw this meeting, but one person described it as Trump essentially saying, 'Hey, why don't you come over to Mar-a-Lago?'""Zuckerberg once upon a time was a funder of an immigration advocacy group," Haberman pointed out.
21% : Zuckerberg reportedly told Trump he looked like a "badass" for his defiant response to the attack.
16% : Trump has repeatedly accused Meta's platforms of censoring conservatives and even called for Zuckerberg's imprisonment during his 2020 election rhetoric.

*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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