Elon Musk debuts grip on Trump White House by sinking spending bill
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-23% 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
-2% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
39% : (not to mention the joy at seeing the collective establishment, aka 'uniparty,' lose their ever-lovin' minds)," Paul wrote on X.Democrats called Musk the president, the co-president and the fourth branch of government, saying he's shown he's more powerful than Trump, according to Axios.37% : He and the account for the "department of government efficiency" or Doge, a government body that Trump says he'll create , claimed the bill would significantly raise pay for members of Congress - it wouldn't.
30% : He has indicated this is just the beginning, saying no bill should be passed until Trump takes office.
29% : The world's richest man again flexed the muscle he gained during the 2024 election, in which he spent big to help elect Donald Trump and spread of rightwing rumors on X. Since the spending bill was introduced, Musk has fired off tweet after tweet attacking it, amplifying false claims about what it includes and dooming its fate.
26% : Mark Pocan, a Democratic representative from Wisconsin, created AI images of Musk controlling Trump, including one where Musk is being sworn in by the incoming president.
13% : Trump and the vice-president-elect JD Vance opposed the bill, releasing a statement about it, but did not speak out publicly to nearly the degree Musk did.
*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.