Fair college admissions doesn't exist -- it's time we stop...
- Bias Rating
-10% Center
- Reliability
20% ReliablePoor
- Policy Leaning
-10% Center
- Politician Portrayal
-29% 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.
Sentiments
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
56% : Despite its ostensible objectivity, the examination included tests in Greek and Latin, resulting in the exclusion of the vast majority of students at public schools, which largely did not offer instruction in these languages.52% : Prior to today's landmark Supreme Court decision ending affirmative action, scholars, administrators, students, and faculty members alike have proffered answers to the question: How can admissions at elite institutions be made fair and equitable?
48% : This history of discrimination has come to the fore yet again as affirmative action was debated -- and ultimately overturned -- in the Supreme Court.
*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.