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Sharing of Verified Information about COVID-19 on Social Network Sites: A Social Exchange Theory Perspective

Author

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  • Jiabei Xia

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China)

  • Tailai Wu

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China)

  • Liqin Zhou

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China)

Abstract

Background : Verified and authentic information about coronavirus disease (COVID-19) on social networking sites (SNS) could help people make appropriate decisions to protect themselves. However, little is known about what factors influence people’s sharing of verified information about COVID-19. Thus, the purpose of this study was to explore the factors that influence people’s sharing of verified information about COVID-19 on social networking sites. Methods : Based on social exchange theory, we explore the factors that influence sharing of verified information about COVID-19 from two perspectives: benefits and costs. We employed the survey method to validate our hypothesized relationships. By using our developed measurement instruments, we collected 347 valid responses from SNS users and utilized the partial least squares method to analyze the data. Results : Among the benefits of sharing verified information about COVID-19, enjoyment in helping (β = 0.357, p = 0.000), altruism (β = 0.133, p = 0.029) and reputation (β = 0.202, p = 0.000) were significantly associated with verified information sharing about COVID-19. Regarding the costs of sharing verified information about COVID-19, both verification cost (β = −0.078, p = 0.046) and executional cost (β = −0.126, p = 0.011) also significantly affect verified information sharing about COVID-19. All the proposed hypotheses were supported. Conclusions : By exploring factors from both benefits and costs perspectives, we could understand users’ intention to share verified information about COVID-19 comprehensively. This study not only contributes to the literature on information sharing, but also has implications concerning users’ behaviors on SNS.

Suggested Citation

  • Jiabei Xia & Tailai Wu & Liqin Zhou, 2021. "Sharing of Verified Information about COVID-19 on Social Network Sites: A Social Exchange Theory Perspective," IJERPH, MDPI, vol. 18(3), pages 1-12, January.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1260-:d:490293
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    References listed on IDEAS

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    1. Kumar, Aman & Shankar, Amit & Behl, Abhishek & Arya, Varsha & Gupta, Nakul, 2023. "Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Han Lv & Xueyan Cao & Shiqi Chen & Liqun Liu, 2022. "Public and Private Information Sharing under “New Normal” of COVID-19: Understanding the Roles of Habit and Outcome Expectation," IJERPH, MDPI, vol. 19(9), pages 1-26, May.

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