Analysis of the Political Viewpoints of Policy Statements from Professional Nursing Organizations Using ChatGPT-5: A Cross-Sectional Study
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.
Authors
- Lisa E. Guthrie (ORCID: https://orcid.org/0000-0002-6708-8380)
- Gail M. Keenan (ORCID: https://orcid.org/0000-0002-6364-2524)
- Kim Curry (ORCID: https://orcid.org/0000-0003-4630-0212)
- Lisa Posigian
Institutions
- Apple (Israel) (IL)
- University of California, San Francisco (US)
- University of Florida (US)
- Curry College (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-06
- DOI
- https://doi.org/10.5281/zenodo.22552018
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- preprint