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.

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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
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article

Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study

Tina D Purnat, Tim K. Mackey, Michael Robert Haupt, Luning Yang
11 citations
JMIR Infodemiology
Misinformation and Its Impacts
12.45
article

Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study

Tina D Purnat, Tim K. Mackey, Michael Robert Haupt, Luning Yang
article en
11 citations

Abstract

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.

JMIR InfodemiologyVol. 4
Harvard University (US), University of California San Diego (US), Global Policy Institute (US)
Openalex Percentile: Top 1%
Misinformation and Its Impacts
12.45
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