New York Post Article RatingNYT has yet to issue correction for wrongly claiming Trump 'falsely'...
- Bias Rating
16% Somewhat Conservative
- Reliability
60% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-29% 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
-17% 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:
43% : "Yet in spite of Washington's termination and the agency chief's admission, the Oct. 4 Times article -- written by staff reporter and "fact checker" Linda Qiu -- still accuses Trump of fibbing about the federal government giving preferential treatment to those who didn't support his campaign.30% : The "paper of record" has yet to publish a correction, even though the disaster agency last week revealed Trump was right all along.
27% : "The federal disaster relief agency last week even sided with Trump, saying one of its employees, Marn'i Washington, gave workers in Lake Placid, Fla., the disturbing order to "avoid homes advertising Trump" in a "best practices" memo to employees obtained by Daily Wire.
*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.