University of Virginia won't join White House's compact for colleges
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
-23% Negative
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Bias 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
11% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
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Contributing sentiments towards policy:
59% : "A contractual arrangement predicating assessment on anything other than merit will undermine the integrity of the vital, sometimes lifesaving, research and further erode confidence in American higher education," Mahoney wrote in a note to Education Secretary Linda McMahon and two other administration officials.54% : For example, a school with special expertise in research involving a specific type of cancer could, under the provisions, be eliminated from funding for that research unless it signed the compact.
53% : The proposal promised special funding for schools that met specific demands.
48% : In exchange for the special funding considerations, schools would have to agree to provisions including tuition freezes, caps on international students, the elimination of both race and sex as factors in admissions decisions, and the promotion of conservative views on campus.
17% : You Might Also Like: UPenn and USC join Brown and MIT in rejecting Trump's proposal for funding preferences They voiced concerns that it set up an illegal two-tiered system for doling out federal funding, allowing schools that signed on to the deal to escape merit-based consideration in federal grants.
*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.
