New York Post Article Rating

Ideological growth of a poison Ivy: Columbia's journey from...

May 28, 2024 View Original Article
  • Bias Rating

    -4% Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    -4% Center

  • Politician Portrayal

    N/A

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

-21% Negative

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Bias Meter

Contributing sentiments towards policy:

54% : After an uproar, however, administrators succumbed and quietly released a list of 18 donors, which included the United Arab Emirates, a Palestinian oil magnate who supported anti-Israel policies, and other activists.
51% : While the extent of Arab-state funding is unknown, this much is certain: Columbia's postcolonial studies programs have steadily pushed BDS, Islamist and anti-Israel narratives on campus, with predictable results.
51% : Columbia has made several such big-money efforts in recent years: an initiative to hire faculty who study racism; funding to bolster the number of "underrepresented faculty candidates" hired in STEM fields and across all disciplines; a program to "ensure equity and enhance diversity in our graduate programs' applicant pools"; and grants "for faculty projects that engage with issues of structural racism.
49% : These systems of thought apply the basic principle of critical theory -- that politics is a conflict between oppressed and oppressor groups -- to the colonized populations of geopolitical history.
47% : Consider Fawziah Qadir, a Columbia-affiliated education professor and critical race theorist, who promises on her personal website to "transform education into a tool for liberation."

*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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