Gen Z is the new threat to the American college experience
- Bias Rating
Center
- Reliability
80% ReliableGood
- Policy Leaning
4% Center
- Politician Portrayal
14% Positive
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Conservative
-100%
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100%
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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
12% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"Shaw isn't alone in her attitude toward higher education." | Positive | 12% Conservative |
"With millions of Americans holding student debt, along with a growing number of jobs no longer requiring a college degree, universities will likely need to adjust the costs of their programs -- along with the types of programs they offer -- to keep pace with the changing sentiment of younger generations toward the value of higher education." | Positive | 4% Conservative |
"Ana Hernández Kent, a senior researcher with the Institute for Economic Equity at the Federal Reserve Bank of St. Louis, highlighted that dilemma in November research on Gen Z's perspectives on higher education." | Negative | -18% Liberal |
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Bias Meter
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Contributing sentiments towards policy:
56% : Shaw isn't alone in her attitude toward higher education.52% : With millions of Americans holding student debt, along with a growing number of jobs no longer requiring a college degree, universities will likely need to adjust the costs of their programs -- along with the types of programs they offer -- to keep pace with the changing sentiment of younger generations toward the value of higher education.
41% : Ana Hernández Kent, a senior researcher with the Institute for Economic Equity at the Federal Reserve Bank of St. Louis, highlighted that dilemma in November research on Gen Z's perspectives on 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.