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1.
Frontiers in Communication ; 7, 2023.
Article in English | Scopus | ID: covidwho-2215251

ABSTRACT

Background: During the COVID-19 health crisis, there is a recognized need for addressing vaccine hesitancy to increase vaccination rates globally. In this context, exploring the underlying public behavioral mechanism related to COVID-19 vaccine decisions has been the focus of much investigation. Objective: This thesis seeks to investigate and explain the impact of COVID-19-related information scanning via social media on health perceptions and behavioral intentions to receive COVID-19 vaccine doses in China. Methods: By distributing a questionnaire online, 483 respondents were recruited. Then, the present study applied partial least squares structural equation modeling (PLS-SEM) by using Smart PLS 3.3. Finally, the variance of path relationships among different socio-demographic groups was tested by performing multigroup analysis. Results: COVID-19 information scanning via social media has positive influence on four constructs, including perceived severity (β = 0.355, p < 0.01), perceived vulnerability (β = 0.140, p < 0.05), self-efficacy (β = 0.360, p < 0.01) and response efficacy (β = 0.355, p < 0.01). No significant correlation was found between threat appraisal and behavioral intentions to get vaccinated, including perceived severity and perceived vulnerability. And scanned information exerts influence through other significant factors, including self-efficacy (β = 0.379, p < 0.01), response efficacy (β = 0.275, p < 0.01) and response cost (β = −0.131, p < 0.05). Additionally, response efficacy exerts stronger influences on men's behavioral intentions, whereas response cost and perceived vulnerability are stronger mediators among women. Surprisingly, scanned information is positively associated with response cost among older adults, and perceived vulnerability was negatively associated with behavioral intentions to receive the coronavirus vaccines among younger adults. And there were significant differences in the association of perceived vulnerability and behavioral intentions between lower and higher educated groups. Conclusion: The present results highlight the key roles of COVID-19-related scanned information on public health perceptions and behavioral intentions. Tailored health communication must deliver factual information, address the public uncertainty regarding adverse effect of COVID-19 vaccine, and clarify vaccine schedules. Copyright © 2023 Cheng and Espanha.

2.
Springer Series in Design and Innovation ; 19:339-352, 2022.
Article in English | Scopus | ID: covidwho-1877709

ABSTRACT

Background: In the context of the ongoing COVID-19 pandemic, there is a recognized need to investigate the roles of mobile social media in disseminating up-to-date information. Several attempts have been made to analyze the hot topics which have been circulated across social media platforms and public information needs during the wave of COVID-19. In addition, user engagement behaviors have been the focus of much investigation in the search to strengthen communication efforts as well. There has also been substantial research undertaken on the roles of WeChat in terms of fighting COVID-19 in China. However, no known research has focused on official accounts which deliver posts about Portuguese news to Chinese living in Portugal during the COVID-19 crisis. Methods: By employing content analysis after recruiting 895 posts published by four official accounts, the present study seeks to explore its topic categories, follower information demands and the engagement level. Conclusions: The findings show that the topical categories of local news, updated data and policies and vaccination dominate the total of COVID-19-related posts during the period of observation. These four official accounts address urgent concerns of Chinese residents in Portugal by providing the latest news and reliable information sources. This paper also represents further strategies toward driving follower engagement by increasing media richness, regular posting, interaction and media convergence. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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