Fox NewsJoy Behar disagrees with Democrats calling JD Vance, Trump 'weird': 'Take the high road'
- Bias Rating
10% Center
- Reliability
45% ReliableFair
- Policy Leaning
82% Extremely Conservative
- Politician Portrayal
-19% 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
-2% 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:
25% : "CLICK HERE TO GET THE FOX NEWS APPHarris used "weird" to describe Trump at a recent fundraiser.22% : Alyssa Farah Griffin, who worked for Trump in 2020, took no issue with the line of attack, and said the "weird" attack was not "below the belt.
20% : ""Trump is kind of the weirdest of them all.
15% : Swalwell said on CNN that the GOP ticket's policies were both "creepy" and "weird.""It's too much weird, and name calling, take the high road, get off the weird thing, just call him what he is," Behar, a huge critic of the former president, said.WHITE HOUSE COMMS SHOP'S CREDIBILITY QUESTIONED AFTER BIDEN BOWS OUT: 'SCANDAL'Co-host Sara Haines appeared to go all-in on the notion that Trump, Vance and the GOP are "weird.
*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.