Raw Story'They deserve to be eaten': Ex-Tea Party rep has no sympathy for MAGA billionaires
- Bias Rating
10% Center
- Reliability
55% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-65% 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
10% Positive
- 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:
41% : He reacted to the commentary on X Friday of AQR Capital Management managing principal Clifford Asness, who wrote of Elon Musk and Vivek Ramaswamy's civil war with Trump influencers over H1-B work visas: "TFW you realize the mob you created may not be all yours...26% : ""Musk and Ramaswamy are right -- when it comes to immigration," agreed Walsh, who abandoned the GOP over what he saw as their unwavering loyalty to Trump over the Constitution.
16% : ALSO READ: 'Shocking and disturbing': NY officials release footage of inmate's fatal beatingIn recent days, Trump supporters have been whipped into a xenophobic frenzy against this program, and in particular Indian tech workers, accusing them of stealing job opportunities from Americans.
*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.