AxiosCheck out this free eBook to learn more about detecting misinformation in the news.
Thank you for following Axios. You will receive email notifications for this source. To make changes to this, please visit your account.
You need to upgrade in order to follow more news source and receive email notifications about new articles and ratings, as your subscription allows only source. To change which news sources you follow, please visit your account.
Trump names Biden admin critic Miran head of Council of Economic Advisers
- Bias Rating
-2% Center
- Reliability
50% ReliableAverage
- Policy Leaning
-8% Center
- Politician Portrayal
4% 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
Overall Sentiment
7% Positive
- Liberal
| 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
Center
-2%
Contributing sentiments towards policy:
62% : Driving the news: Trump announced Miran's appointment in a Truth Social post Sunday morning. Zoom out: Miran, a fellow at the Manhattan Institute, was senior advisor for economic policy at the Treasury Department during Trump's first term.*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.
