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1.
Journal of Organizational and End User Computing ; 34(6), 2022.
Article in English | Scopus | ID: covidwho-2316798

ABSTRACT

In response to the COVID-19 outbreak, the governments of different countries adopted restrictions, such as locking down cities and restricting travel and social contact. Online health communities (OHCs) with specialized physicians have become an important way for the elderly to access health information and social support, which has expanded their use since the outbreak. This paper examines the factors influencing elderly people's behavior in terms of the continuous use of OHCs from a social support perspective to understand the impact of public health emergencies. Research collected data from March to April 2019, February 2020, and August 2021 in China. A total of 189 samples were collected and analyzed by using SmartPLS. The results show that (1) social support to the elderly during different stages has different influences on their sense of community and (2) the influence of the sense of community on the intention to continuously use OHCs also seems to change over time. The results of this study provide important implications for research and practice related to both OHCs and COVID-19. © 2022 IGI Global. All rights reserved.

2.
Computers in Human Behavior ; 146, 2023.
Article in English | Scopus | ID: covidwho-2306544

ABSTRACT

Online health information is critical during pandemics. Previous research has focused on examining antecedents or consequences of particular information behaviors (e.g., seeking, sharing), but the process by which one information behavior influences or transforms into other information behaviors remains poorly understood. Guided by theories of information behavior and the literature on online misinformation, this study proposes an interaction model of online information behaviors that theorizes relationships among online information scanning, misinformation exposure, misinformation elaboration, information sharing, and information avoidance. Conducting a two-wave representative panel survey in Hong Kong during the COVID-19 pandemic (N = 1501), we found that online information scanning at Wave 1 had a direct, positive impact on misinformation exposure and information sharing at Wave 2, while it did not have an impact on information avoidance at Wave 2. Additionally, misinformation exposure was positively related to both information sharing and information avoidance at Wave 2. Importantly, we underlined that evaluations of crisis-related misinformation are aided by misinformation elaboration, which plays a moderating role in catalyzing appropriate information behaviors. Results of this study could help scholars and practitioners propose evidence-based interventions for enhancing the public's ability to manage crisis information on the Internet in times of heightened uncertainty. © 2023 Elsevier Ltd

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