Trump and Biden had very different responses to affirmative action ruling
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Center
- Reliability
50% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-25% Negative
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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.
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Contributing sentiments towards policy:
54% : While critics argued that such policies might have resulted in a decline in merit-based admissions, affirmative action policies primarily worked to ensure an equitable number of students of color had access to the same education that more affluent and connected students enjoyed.50% : Speaking Thursday to reporters at the White House, Biden lambasted the Court for doing away with decades of legal precedent that supported the legality of such admissions -- otherwise known as affirmative action -- and said the ruling ignored generations of racial prejudice that persists today.
47% : However, conservatives said affirmative action policies like those at Harvard and the University of North Carolina (UNC), the two defendants in the case, actually encouraged discrimination in admissions against non-legacy students who may have been just as -- if not more qualified -- than applicants of other races.
46% : But in 2018 his Department of Education moved to repeal President Barack Obama's efforts to encourage university presidents to expand affirmative action policies.
42% : Enrollment data shows that more than 70 percent of those applicants were white, a statistic critics say undermined Harvard's defense of affirmative action as its most effective tool to improve diversity.
34% : In a 2015 interview with MSNBC's Chuck Todd, Trump said he would not repeal affirmative action -- replying that "we've lived with it for a long time" when questioned how his administration would handle it.
*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.