New York Post Article RatingWork permits won't magically solve NYC's migrant crisis -- they'll...
- Bias Rating
32% Somewhat Conservative
- Reliability
50% ReliableFair
- Policy Leaning
12% Somewhat Conservative
- Politician Portrayal
-46% 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
- 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:
53% : Claims of asylum notwithstanding, most people who came here 10 or 20 years ago came for the same reason people came a month ago: job opportunities.49% : Therefore, the White House should ask Congress to suspend requirements that migrants wait six months to apply for a work permit, after having applied for asylum.
46% : And what is the US government going to do in 2035 when it judges an asylum seeker who applied back in 2023 wasn't eligible for asylum -- deport her?
45% : Why should Google or Microsoft go through the trouble of applying for scarce skilled-worker visas when well-educated applicants could fly here and claim asylum and work for a decade before the government gets around to judging the claim?
*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.