CNN host calls out Dems messaging shortfalls as party rep claims voters are 'looking in the wrong places'
- Bias Rating
36% Somewhat Conservative
- Reliability
45% ReliableAverage
- Policy Leaning
8% Center
- Politician Portrayal
-47% 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
-14% Negative
- 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:
60% : The demonstrations largely centered on Elon Musk and the Department of Government Efficiency (DOGE), which aims to slash $2 trillion in federal spending.51% : Dean again pushed back on the congressman, replying, "Respectfully, I'm looking at this video and Democrats are going, 'Trump's all over the internet.
41% : Some House Republicans have faced protests back home this past week after progressive groups urged Americans to protest the GOP's handling of government spending. CLICK HERE FOR MORE COVERAGE OF MEDIA AND CULTURE
38% : "When we talk to people out, just Americans out there, Democrats, but also others, maybe independents that voted for Donald Trump, but especially the Democrats.
*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.