The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
COVID-19 Information Seeking on Digital Media and Preventive Behaviors: The Mediation Role of Worry
Abstract
The high prevalence of novel coronavirus disease (COVID-19) and inefficient preventive measures taken to curb the disease are significant public health concerns. Rapid and innovative advances in digital media offer opportunities for health education, which could result in increased preventive behaviors. This study assessed preventive behaviors against contracting COVID-19 and tested mediation pathways linking four types of digital media consumption (social media, mobile social networking apps [MSNs], online news media, and social live steaming services [SLSSs]) to preventive behaviors, mediated by worry. Results from an online survey (N = 511) revealed that the vast majority (>90 percent) of respondents had very often or always practiced preventive behaviors against contracting COVID-19 such as washing their hands more regularly with soap and water, staying away from crowded places, and wearing face masks out in public. In addition, COVID-19 information seeking through the four types of digital media was a salient parameter that encouraged people to practice preventive behaviors either directly or indirectly. Specifically, seeking COVID-19-related information on MSNs, SLSSs, and online news media was directly associated with preventive behaviors. Whereas COVID-19 information consumption on social media, MSNs, and SLSSs during the infectious disease outbreak could elicit intense worry and, in turn, increase preventive behaviors. The reasons for and implications of the results are discussed.
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Cites
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“17,18 For instance, Norr, Capron, and Schmidt found that individuals who have browsed medical Web sites and received information about certain disease symptoms reported higher levels of health anxiety.”
Zika virus pandemic—analysis of Facebook as a social media health information platform
Sharma, M., Yadav, K., Yadav, N., & Ferdinand, K. C. (2017) · American Journal of Infection Control · doi:10.1016/j.ajic.2016.08.022 · Cited by 426
How the public uses social media wechat to obtain health information in china: a survey study
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Fear, Anxiety, Worry, and Breast Cancer Screening Behavior: A Critical Review
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The role of fear of anxiety and intolerance of uncertainty in worry: An experimental manipulation
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Information sharing on social media sites
Osatuyi, B. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.07.001 · Cited by 279
The use of social networking sites for public health practice and research: A systematic review
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Cited by
Hayran, C., & Anik, L. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041974 · Cited by 137
Tendency to worry and fear of mental health during Italy's COVID-19 lockdown
Baiano, C., Zappullo, I., the LabNPEE Group, & Conson, M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165928 · Cited by 87
Zheng, H., Chen, X., Jiang, S., & Sun, L. (2023) · Information Processing & Management · doi:10.1016/j.ipm.2023.103364 · Cited by 78
Kellerman, J. K., Hamilton, J. L., Selby, E. A., & Kleiman, E. M. (2022) · JMIR Mental Health · doi:10.2196/36966 · Cited by 58
Beaudoin, C. E., & Hong, T. (2021) · Journal of Medical Internet Research · doi:10.2196/30612 · Cited by 17
Metadata
- Authors
- Liu, P. L.
- Venue
- Cyberpsychology, Behavior, and Social Networking
- Publisher
- SAGE Publications
- Published
- 2020-10-01
- Volume
- 23
- Issue
- 10
- Pages
- 677-682
- ISSN
- 2152-2715 (ISSN-L)
- 2152-2723
- OpenAlex
- W3033165670
- Cited by
- 298
- References
- 24
- FWCI
- 67.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, P. L. (2020). COVID-19 Information Seeking on Digital Media and Preventive Behaviors: The Mediation Role of Worry. Cyberpsychology, Behavior, and Social Networking. https://doi.org/10.1089/cyber.2020.0250
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
