Trump taps crypto advocate Stephen Miran as head of his Council of Economic Advisers
- Bias Rating
20% Somewhat Conservative
- Reliability
70% ReliableGood
- Policy Leaning
40% Somewhat Conservative
- Politician Portrayal
-3% 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
35% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
57% : If confirmed by the Senate, he will oversee the CEA, which advises the President on various economic matters, focusing on policies that promote full employment, economic growth, and stability"I am pleased to announce that I will nominate Stephen Miran to be the Chairman of my Council of Economic Advisers," Trump wrote on Truth Social.54% : "I am beyond honored that President Trump has chosen me to lead his Council of Economic Advisers," Miran said in a post on X. "I look forward to working to help implement the President's policy agenda to create a booming, non-inflationary economy that brings prosperity to all Americans!"Many in the crypto community have thrown support for Miran, including Michael Saylor, MicroStrategy's executive chairman.Miran's stance on crypto was reflected in his recent interview with The Bitcoin Layer, where he criticized the current financial regulatory framework as overly burdensome, arguing it hampers financial institutions.
43% : Trump has appointed several figures who support crypto assets to key positions within his incoming administration, including Howard Lutnick, Robert F. Kennedy Jr., and Scott Bessent.
30% : Trump has also appointed David Sacks as AI and Crypto Czar.
27% : Trump has selected Paul Atkins as his nominee for chair of the SEC.
*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.