Dems can only escape Kamala Harris' woeful record by censoring bad...
- Bias Rating
50% Medium Conservative
- Reliability
55% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-39% 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% 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:
42% : Kerry, not being the brightest tool in the Dem shed, let the cat out of the bag Wednesday in a World Economic Forum panel on Green Energy during the UN gabfest in New York City.13% : "She also told a Canadian interviewer that "when she [Harris] defeats Trump, maybe the fever will break.
11% : In an interview with "Firing Line" host Margaret Hoover, she accused the media and social media of failing to present a "consistent narrative about the danger that Trump poses," and warned that the Harris campaign had plans to "combat both domestic and foreign false disinformation.
8% : "Will we break the fever in the United States?"Clinton used the same language on the weekend when she accused Trump of doing what she and her fellow Dems are doing.
*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.