Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study
These results indicate that ChatGPT's ability to classify misinformation is negatively impacted when role-playing social identities, highlighting the complexity of integrating human biases and perspectives in LLMs. This points to the need for human oversight in the use of LLMs for misinformation detection. Further research is needed to understand how LLMs weigh social identities in prompt-based tasks and explore their application in different cultural contexts.
Authors
- Tina D Purnat (ORCID: https://orcid.org/0000-0002-0257-6631)
- Tim K. Mackey (ORCID: https://orcid.org/0000-0002-2191-7833)
- Michael Robert Haupt (ORCID: https://orcid.org/0000-0003-4985-7796)
- Luning Yang (ORCID: https://orcid.org/0009-0006-4876-591X)
Institutions
- Harvard University (US)
- University of California San Diego (US)
- Global Policy Institute (US)
Publication Details
- Journal
- JMIR Infodemiology
- Published
- 2024-09-26
- DOI
- https://doi.org/10.2196/60678
- Citations
- 11
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 12.45