As Musk Nears End of 130-Day DOGE Stint, He's $113 Billion Down
- Bias Rating
-8% Center
- Reliability
75% ReliableGood
- Policy Leaning
-6% Center
- Politician Portrayal
-5% 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
-11% Negative
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
79% : "He was a tremendous help, both in the campaign and in what he's done with DOGE," Trump said.70% : The influence was immediately clear from the president's inauguration speech, when Trump echoed Musk's enthusiasm for going to Mars.
58% : His visit in December, before the inauguration, signified the unique pressure Boeing and others have endured with Trump back in power and Musk at his side. X Factor Musk's influence in the White House helped him quickly settle a lawsuit with Trump over X's decision -- then known as Twitter -- to ban the president in 2021 following the Jan. 6 Capitol insurrection.
50% : The Department of Defense awarded $5.9 billion to SpaceX to send intelligence satellites into orbit, a higher figure than competitors got.
44% : For Trump, speaking to reporters last week, Musk's role with the administration already sounded past-tense.
37% : Trump then picked Jared Isaacman to lead NASA, nominating a billionaire who has twice paid to fly aboard SpaceX capsules.
13% : He also called out the negative impact of Trump's tariffs on the Tesla earnings call, and said that despite trying to convince Trump otherwise, the president is "within his rights to do what he wants to do." As Musk announced his soft exit from government, the billionaire left open the door to advising Trump through the end of the administration.
*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.