NewsBusters Article RatingWashPost's Gene Robinson Jumps On The Kamala Harris Campaign 'Weird' Train
- Bias Rating
72% Very Conservative
- Reliability
35% ReliableFair
- Policy Leaning
92% Very Conservative
- Politician Portrayal
-2% 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
-1% Negative
- Liberal
- 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:
54% : Trump is out talking about the, you know, the shark and the boat and the battery all the time.54% : Trump is out talking about the, you know, the shark and the boat and the battery all the time.
33% : So Sam, not only is it weird, but for the first time in a long time, certainly in months if not more during this campaign, Trump has had to be reactive.
21% : Trump's not going to like that, either.
18% : So now, we have in Vance and Trump, one of the like, weirdest tickets that I can recall.
13% : So now, we have in Vance and Trump,bone of the, like, weirdest tickets that I can recall.
5% : Indeed, in his column, Robinson quoted a Harris campaign email, and a statement by a possible Harris VP pick, calling Trump and Vance "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.