
Democrat Jasmine Crockett explains why Harris lost black men's vote
- Bias Rating
92% Very Conservative
- Reliability
25% ReliableLimited
- Policy Leaning
62% Medium Conservative
- Politician Portrayal
-46% 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
N/A
- 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% : She continued that voters had built up Donald Trump as a successful businessman and only knew Harris as a prosecutor.33% : Even though Harris won a majority of voters of color, Trump did make inroads with marginalized communities in comparison to 2020.
33% : Exit polls showed that 77 percent of black men who voted in 2024 voted for Harris, while an overwhelming 92 percent of black women voted blue, according to CNN. Trump also made head waves with Latino men who voted in favor of Trump, with only 44 percent casting their ballots for Harris.
6% : Crockett appeared on former NBC anchor Chuck Todd's podcast, The Chuck ToddCast, to discuss the problems in the Democratic party and analyze why Harris lost to Donald Trump in the presidential election.
*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.