Trump Is Actually Calling Kamala Harris the 'Weird' One Now
- Bias Rating
-58% Medium Liberal
- Reliability
50% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-67% 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:
28% : She is plain weird," Trump said, in a continuation of an interview that first aired on The Ingraham Angle the night prior.18% : "In Monday's segment, Trump tried to brush off Democrats' messaging, insisting that Sen. J.D. Vance (R-OH), his running mate, is not weird, despite controversial comments about women and voting.
4% : Donald Trump took from his opponent's playbook while describing her to Fox News host Laura Ingraham during an interview that aired Tuesday, saying it's actually Vice President Kamala Harris who's the "weird" one in the 2024 presidential race.Democrats' popular line of attack on Trump -- that he's just "weird" -- has apparently been effective enough that Trump is now trying to use it himself.
*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.