Cointelegraph Article RatingTrump nominates Stephen Miran as Council of Economic Advisors chairman
- Bias Rating
Center
- Reliability
50% ReliableFair
- Policy Leaning
12% Somewhat Conservative
- Politician Portrayal
-2% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
43% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
63% : "Many in the crypto community celebrated the nomination of Miran as a positive development for the crypto industry, as Donald Trump continues to select pro-crypto and pro-innovation officials for his cabinet.54% : Related: Trump may use Bitcoin as US reserve asset on 'day one' -- How high will BTC price go?
41% : On Dec. 6, Trump nominated David Sacks as AI and crypto czar -- the lead policy advisor for artificial intelligence and digital assets.
23% : Trump nominates pro-crypto individuals for second administrationDonald Trump nominated Paul Atkins to replace Gary Gensler as the chairman of the Securities and Exchange Commission (SEC) on Dec. 4, 2024.
*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.