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Inside Higher Ed Article Rating

Conservatives Seize the Moment to Remake Higher Ed

  • Bias Rating

    6% Center

  • Reliability

    70% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -17% 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

13% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

57% : With the Trump administration taking special aim at higher education, conservative policymakers and college leaders are embracing the opportunity to force a cultural reset across academe.
55% : Pidluzny, who previously worked under Education Secretary Linda McMahon at the America First Policy Institute, framed the culture of higher education as antithetical to American values and the sector as broken and unaccountable.
50% : " While Pidluzny leveled sweeping criticism at higher education, he also credited the college presidents in the room for their work leading "excellent institutions."
49% : The event offered insights into how conservative thinkers operating the levers of power at the Education Department view the current state of higher education and the need for change.
44% : After describing higher education as broken, Pidluzny offered a road map for how to fix it.
38% : " He blamed higher ed's troubles partly on the Biden administration and partly on diversity, equity and inclusion initiatives, which Trump has also targeted.
32% : Numerous critics have decried those investigations as improper, arguing that Trump is weaponizing the federal government to strip colleges of institutional autonomy and has impeded academic freedom.

*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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