Facebook founder Zuckerberg dines with Trump at Mar-a-Lago
- Bias Rating
10% Center
- Reliability
25% ReliablePoor
- Policy Leaning
10% Center
- Politician Portrayal
-27% Negative
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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
9% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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-100%
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Contributing sentiments towards policy:
60% : Great Again movement, contributing an estimated 200 million dollars (£158 million) through his political action committee to help elect Trump.50% : Zuckerberg has since taken a more positive stance towards Trump.
46% : "A spokesperson for Meta confirmed that Zuckerberg and Trump met on Wednesday, saying he was invited for dinner with the President-elect and other members of his team to talk about the incoming administration.
45% : The tech baron has been seeking to change his company's perception on the right following a rocky relationship with Trump.
45% : In July, he posted a message on his own social network Truth Social threatening to send election fraudsters to prison, in part by citing a nickname he used for the Meta chief, writing: "ZUCKERBUCKS, be careful!"The visit on the eve of the US Thanksgiving holiday also comes as tech mogul Elon Musk has become more influential in Trump's Make America
42% : He has spent considerable time at Mar-a-Lago since the election, and Trump selected him to lead an outside advisory panel known as the "Department of Government Efficiency" to identify waste with Vivek Ramaswamy, a venture capitalist and former Republican presidential candidate.
21% : In recent months, Trump had continued to attack Zuckerberg publicly.
15% : Trump was kicked off Facebook following the January 6 2021 attack on the US Capitol.
*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.