Journal of Information Resources Management ›› 2024, Vol. 14 ›› Issue (3): 104-120.doi: 10.13365/j.jirm.2024.03.104

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Exploring the Cognitive Factors of Healthcare Professionals’ Health Misinformation Correcting Intention on Social Media——Using SEM and fsQCA

Yu Mei Yu Shiya Liu Rui   

  1. School of Information Management, Central China Normal University, Wuhan, 430079
  • Online:2024-05-26 Published:2024-06-14
  • About author:Yu Mei, master candidate, specializing in information behavior; Yu Shiya, bachelor candidate, specializing in information behavior; Liu Rui(corresponding author), Ph.D., associate professor, specializing in information behavior, health informatics, Email: liuruiccnu@hotmail.com.
  • Supported by:
    This is an outcome of the Major Program of National Social Science Foundation of China "Research on the Reconstruction and Application of Human-oriented Artificial Intelligence-drive Information Service System"(22&ZD324).

Abstract: This paper aimed to explore the factors of healthcare professionals’ health misinformation correcting intention on social media. The results of this study can be useful to reduce the spread of health misinformation. Based on Third-Person Effects (TPE), Protective Motivation Theory (PMT) and Heuristic System Model (HSM), this paper employed Structural Equation Model(SEM) and Fuzzy-Set Qualitative Comparative Analysis(fsQCA) to explore the influencing factors of healthcare professionals’ health misinformation correcting intention and its configurations. The path analyses showed that third-person effect, social media trust, self-efficacy, response efficacy and professional identity can positively affect health misinformation correcting intention; Information processing affected social media trust and the third-person effect; Social media trust positively affected self-efficacy and response efficacy, and these two variables had mediating effects between social media trust and health misinformation correcting intention. The fsQCA found that there were three configurations leading to health misinformation correcting intention. Third-person effect, self-efficacy, response efficacy, and professional identity were important antecedents. This study can call for and encourage more healthcare professionals to participate in the correction of health misinformation on social media, thus reducing the adverse effects of misinformation and safeguarding public health.

Key words: Social media, Health misinformation, Health misinformation correction, SEM, fsQCA

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