New York Post Article RatingKamala's toxic campaign makes sharing Al Smith civility with Trump...
- Bias Rating
36% Somewhat Conservative
- Reliability
60% ReliableAverage
- Policy Leaning
30% Somewhat 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
14% Positive
- 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:
59% : But it will also serve to show the country that Trump has quite a good sense of humor in these settings.34% : How can she trade lighthearted jabs with Trump after repeatedly calling him "a threat to our democracy" and "our greatest national security threat" -- even after two assassination attempts on him in the past two months?
26% : And that's the fear from the Harris campaign: She will get roasted by the King of Roasters if she goes up against Trump in an uncontrolled setting.
25% : Here's Trump at the Al Smith event back in 2016, having some fun at Hillary Clinton's expense when the two presidential rivals were both in attendance: "Just before taking the dais, Hillary accidentally bumped into me
*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.
