Analysis of the Political Viewpoints of Policy Statements from Professional Nursing Organizations Using ChatGPT-5: A Cross-Sectional Study
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Abstract
This policy analysis utilized a large language model to identify criteria to assess for the presence or absence of political bias and to categorize bias where present in the public policy statements issued by six major nursing organizations.
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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-06
Authors: Kim Curry, Gail M. Keenan, Lisa E. Guthrie, Lisa Posigian
Institutions: University of Florida, University of California, San Francisco, Curry College, Apple (Israel)