New York Post Article RatingTrump vs. Colombia teaches Latin America a lesson -- don't mess with...
- Bias Rating
46% Medium Conservative
- Reliability
15% ReliablePoor
- Policy Leaning
72% Very Conservative
- Politician Portrayal
-63% 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
27% Positive
- 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:
38% : And Trump was right to put Petro in his place.36% : Now that all American foreign assistance programs are under the new administration's review, Petro's public antipathy towards Trump, let alone the United States, could jeopardize future aid from which both nations have benefited.
34% : President Trump responded on Truth Social, unleashing the whirlwind Petro's political posturing reaped, slapping 25% tariffs on all Colombian imports, revoking the visas of Colombian government officials and members of Colombia's Humana political party, and imposing customs and banking sanctions.
17% : But with Donald Trump in the White House and Marco Rubio in the State Department, the days of coddling our anti-American Marxist neighbors are over.
*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.