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Roanoke Times Article Rating

UVa restricts new hires, development as Trump cuts into funding

  • Bias Rating

    10% Center

  • Reliability

    75% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -24% Negative

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

Overall Sentiment

-4% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
Conservative

Bias Meter

Contributing sentiments towards policy:

50% : All promotions have been suspended along with unessential travel and other expenses.
48% : "The University is proactively responding to significant fiscal uncertainty, driven by potential cuts to federal spending and other economic headwinds, by asking schools and units to limit discretionary spending," university spokeswoman Bethanie Glover told The Daily Progress in an email.
48% : "UVA is taking additional measures, such as hiring reviews and identifying which construction and renovation projects may be postponed if necessary, to conserve resources in a moment of uncertainty.
46% : "We are in a period of significant fiscal uncertainty, with potential deep cuts to federal spending on grants and contracts and other core programs.
41% : Both the National Institute of Health and U.S. Department of Education have become targets of the Department of Government Efficiency, or DOGE, an unofficial agency led by billionaire tech tycoon Elon Musk which is tasked with cutting "wasteful" spending.
28% : Duke University, Harvard University, the universities of Pennsylvania and Washington and dozens of others have instituted hiring freezes and halted discretionary spending as the Trump administration continues to cut federal aid to higher education and research.

*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.

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