Progressive Caucus Leader Says Biden Must Heed Warnings of 'Uncommitted' Voters
- Bias Rating
10% Center
- Reliability
80% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-12% 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
-16% Negative
- 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:
37% : In 2020, Biden beat Trump in Michigan by 150,000 votes.22% : "As of this writing, more than 101,000 votes have been tallied for the "uncommitted" line, exceeding organizers' stated goal and far surpassing the 11,000-vote margin by which Trump defeated former Secretary of State Hillary Clinton in 2016.
15% : "If even a significant percentage of the primary electorate that voted uncommitted in Michigan either does not vote, votes third party, or, God forbid, chooses Trump over Biden in November, then Biden will surely lose the state," Rosenthal wrote.
11% : "If Biden loses Michigan, as Hillary Clinton lost it to Trump in 2016, his path to electoral victory becomes exceedingly difficult.
*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.