1010 WCSIRace-based admissions? Two Harvard Students debate ahead of Supreme Court decision - 1010 WCSI
- Bias Rating
-30% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-30% Somewhat Liberal
- Politician Portrayal
26% 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:
61% : To view Conway and Hernandez's entire discussion on affirmative action, click here.59% :A TIMELINE OF SUPREME COURT CASES ON AFFIRMATIVE ACTION IN COLLEGE ADMISSIONS
58% :CLICK HERE TO GET THE FOX NEWS APP"Affirmative action, in a way, is discriminating because you're looking at the differences," Conway told Fox News.
50% : CAMBRIDGE, Mass. - Two Harvard University students on opposing sides offered their arguments on whether colleges should or should not consider race during the admissions process ahead of Monday's Supreme Court case over affirmative action.
28% : But Hernandez said: "There are some very clear issues in admissions, regardless of where you stand on affirmative action and while I will push people towards affirmative action, I also will say we need to evaluate these other issues."
*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.