Musk's DOGE wants to 'delete' entire government agencies. Here's where the most people are employed and what they make.
- Bias Rating
10% Center
- Reliability
80% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-57% 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
15% 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:
53% : With Social Security, health programs, and Medicare topping the spending list, they could be on the commission's chopping block.50% : However, Medicare and Social Security are forms of mandatory spending that would require legislation to change.
46% : "While neither Trump, Musk, nor Ramaswamy has made clear which departments could be on the chopping block, Trump has targeted the Department of Education in the past, saying in 2023: "One other thing I'll be doing very early in the administration is closing up the Department of Education in Washington DC, and sending all education and education work and needs back to the states.
27% : While DOGE can advise Trump on agencies to cut, the president-elect cannot act on it alone -- making major changes to federal agencies would require congressional approval.
*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.