Can an Algorithm Tell How Spiritual You Are? Using Generative Pretrained Transformers for Sophisticated Forms of Text Analysis
GPTs can match the gold standard set by human raters, even in sophisticated forms of text analysis, but require a fraction of the time and labor.
Authors
- Michael Prinzing (ORCID: https://orcid.org/0000-0002-7879-7131)
- Sarah A. Schnitker (ORCID: https://orcid.org/0000-0002-2403-9765)
- Perry L. Glanzer (ORCID: https://orcid.org/0000-0002-3649-2516)
- Barbara L. Fredrickson (ORCID: https://orcid.org/0000-0002-3890-2646)
- Karen K. Melton (ORCID: https://orcid.org/0000-0003-4044-8654)
- Elizabeth M. Bounds (ORCID: https://orcid.org/0000-0001-8178-7949)
Institutions
- University of North Carolina at Chapel Hill (US)
- Baylor University (US)
Publication Details
- Journal
- Journal of Personality
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1111/jopy.13006
- Citations
- 3
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 1.04
Funders
- John Templeton Foundation
- Templeton World Charity Foundation