New York Post Article Rating

Trump's expected rollback of DEI can't come soon enough

Dec 29, 2024 View Original Article
  • Bias Rating

    4% Center

  • Reliability

    5% ReliablePoor

  • Policy Leaning

    12% Somewhat Conservative

  • Politician Portrayal

    -35% 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

33% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

58% : As important as is higher education, the new administration should also focus on race-based changes to admissions policies and curricula in K-12.
52% : On education, the 2023 Supreme Court decision in Students for Fair Admissions v. Harvard rendered affirmative-action policies in higher education unlawful, yet some elite institutions appear to be skirting compliance.
51% : Unsurprisingly, none are forthcoming with an explanation, suggesting a need for robust federal oversight into the new admissions policies at our nation's most competitive institutions of higher education.
51% : These statements often serve as proxies for racial classifications and thus undermine merit-based evaluations.
48% : For the most egregious violators, the IRS could revoke tax-exempt status.
48% : Repealing existing regulations would align federal policy with a stricter interpretation of the law.
43% : Now, Trump and Congress have the opportunity to reassert through executive orders, litigation and statutes the colorblind legal covenant that binds us together as a multi-racial, multi-ethnic nation.
41% : To this end, the DOJ should sue employers and unions that mandate race-based hiring, promotions, layoffs and pay disparities and review past legal decrees that impose race-conscious hiring quotas.

*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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