How the rise of woke 'educrats' is destroying higher education
- Bias Rating
22% Somewhat Conservative
- Reliability
90% ReliableExcellent
- Policy Leaning
22% Somewhat Conservative
- Politician Portrayal
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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
-4% Negative
- Liberal
- Conservative
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Contributing sentiments towards policy:
68% : Or look at Harvard, which has long regarded itself as the crown jewel of American higher education.54% : The ratios tend to be lower at public schools, but still, administrative growth at UCLA has outpaced growth in other sectors, so there are now four times as many staff as faculty.
53% : In the same period, tuition at public colleges more than tripled.
51% : It wasn't until after the Supreme Court's decision in Grutter v. Bollinger in 2003, approving the using race in admissions, that universities began fully integrating diversity officers into higher administration.
48% : They also take power away from faculty who are supposed to be instilling academic norms and give it to political commissars who have little regard for the traditional mission of higher education.
46% : Moreover, between 1987 and 2012, the number of administrators at private universities doubled, while their numbers in central offices of public university systems rose by a factor of 34.
42% : Those who once were technocratic paper-pushers ensuring compliance with federal financial aid and antidiscrimination regulations have morphed into enforcers of radical race and gender ideology.
33% : As Jay Greene, who co-authored that 2021 survey, pointed out, "the real danger of universities hiring so many staff who do not engage in teaching or research is not the expense but how it corrupts the core mission of higher education."
*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.