Skip to main content

ORIGINAL RESEARCH article

Front. Public Health
Sec. Infectious Diseases: Epidemiology and Prevention
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1515871

A comparison of the persuasiveness of human and ChatGPT generated pro-vaccine messages for HPV

Provisionally accepted
Dengke Xia Dengke Xia 1,2Mengyao Song Mengyao Song 2,3Tingshao Zhu Tingshao Zhu 2,3*
  • 1 Department of Psychology, Shandong Second Medical University, Weifang, Shandong Province, China
  • 2 Institute of Psychology, Chinese Academy of Sciences (CAS), Beijing, Beijing Municipality, China
  • 3 University of Chinese Academy of Sciences, Beijing, Beijing, China

The final, formatted version of the article will be published soon.

    Public health messaging is crucial for promoting beneficial health outcomes, and the latest advancements in artificial intelligence offer new opportunities in this field. This study aimed to evaluate the effectiveness of ChatGPT-4 in generating provaccine messages on different topics for Human Papilloma Virus (HPV) vaccination, exploring the potential of AI in the development of persuasive health communication. In this study (N = 60), we compared the persuasiveness of GPT-generated messages to human experts authored messages, and found that GPT-generated messages were reported as more persuasive than human-authored messages on some influencing factors (e.g. untoward effect, stigmatizing perception). These findings suggest that GPT-4 has significant potential for generating effective pro-vaccine messages to enhance public health activities.

    Keywords: Large language models, AI-mediated communication, persuasion, Public Health Messages, Message factors

    Received: 23 Oct 2024; Accepted: 30 Dec 2024.

    Copyright: © 2024 Xia, Song and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Tingshao Zhu, Institute of Psychology, Chinese Academy of Sciences (CAS), Beijing, 100101, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.