Literature DB >> 33572493

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

Jiabei Xia1, Tailai Wu1, Liqin Zhou1.   

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.

Entities:  

Keywords:  COVID-19; social exchange theory; social networking sites; verified information sharing

Mesh:

Year:  2021        PMID: 33572493     DOI: 10.3390/ijerph18031260

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  3 in total

1.  The Impact of Beliefs on Health Information Social Sharing for Users: The Perspectives of Social Psychology and Information Technology.

Authors:  Ruiqi Yao; Dongfang Sheng
Journal:  Front Psychol       Date:  2022-05-04

2.  Public and Private Information Sharing under "New Normal" of COVID-19: Understanding the Roles of Habit and Outcome Expectation.

Authors:  Han Lv; Xueyan Cao; Shiqi Chen; Liqun Liu
Journal:  Int J Environ Res Public Health       Date:  2022-05-03       Impact factor: 4.614

3.  Sharing of retracted COVID-19 articles: an altmetric study.

Authors:  Amrollah Shamsi; Brady Daniel Lund; Shohreh SeyyedHosseini
Journal:  J Med Libr Assoc       Date:  2022-01-01
  3 in total

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