New York Post Article RatingWhy are progressives so scared to get rid of affirmative action?
- Bias Rating
- Reliability
60% ReliableAverage
- Policy Leaning
-8% Center
- Politician Portrayal
-36% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias 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
| 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% : We've been told for decades that affirmative action is simply an effort to make colleges more proportionally representative of the nation's demographics writ large: "The diversity justification allows admissions departments to put a thumb on the scale to increase the representation of some minority students whose academic credentials would otherwise be insufficient.51% : Of course, if Spiers and her counterparts believe that the underrepresentation of whites is simply the result of merit, they would ostensibly be fine with ending affirmative action -- after all, the stated purpose of affirmative action was "to further a compelling interest in obtaining the educational benefits that flow from a diverse student body," as Justice Sandra Day O'Connor wrote in the majority opinion for the Supreme Court's 2003 ruling on the matter, Grutter v. Bollinger.
*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.
