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      Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing

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          Abstract

          Background

          Developing an understanding of the social structure and phenomenon of pandemic information sources worldwide is immensely significant.

          Objective

          Based on the quadruple helix model, the aim of this study was to construct and analyze the structure and content of the internet information sources regarding the COVID-19 pandemic, considering time and space. The broader goal was to determine the status and limitations of web information transmission and online communication structure during public health emergencies.

          Methods

          By sorting the second top-level domain, we divided the structure of network information sources into four levels: government, educational organizations, companies, and nonprofit organizations. We analyzed the structure of information sources and the evolution of information content at each stage using quadruple helix and network analysis methods.

          Results

          The results of the structural analysis indicated that the online sources of information in Asia were more diverse than those in other regions in February 2020. As the pandemic spread in April, the information sources in non-Asian regions began to diversify, and the information source structure diversified further in July. With the spread of the pandemic, for an increasing number of countries, not only the government authorities of high concern but also commercial and educational organizations began to produce and provide significant amounts of information and advice. Nonprofit organizations also produced information, but to a lesser extent. The impact of the virus spread from the initial public level of the government to many levels within society. After April, the government’s role in the COVID-19 network information was central. The results of the content analysis showed that there was an increased focus on discussion regarding public health–related campaign materials at all stages. The information content changed with the changing stages. In the early stages, the basic situation regarding the virus and its impact on health attracted most of the attention. Later, the content was more focused on prevention. The business and policy environment also changed from the beginning of the pandemic, and the social changes caused by the pandemic became a popular discussion topic.

          Conclusions

          For public health emergencies, some online and offline information sources may not be sufficient. Diversified institutions must pay attention to public health emergencies and actively respond to multihelical information sources. In terms of published messages, the educational sector plays an important role in public health events. However, educational institutions release less information than governments and businesses. This study proposes that the quadruple helix not only has research significance in the field of scientific cooperation but could also be used to perform effective research regarding web information during crises. This is significant for further development of the quadruple helix model in the medical internet research area.

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          Most cited references49

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          Centrality in social networks conceptual clarification

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              Political Ideology Predicts Perceptions of the Threat of COVID-19 (and Susceptibility to Fake News About It)

              The present research examined the relationship between political ideology and perceptions of the threat of COVID-19. Due to Republican leadership’s initial downplaying of COVID-19 and the resulting partisan media coverage, we predicted that conservatives would perceive it as less threatening. Two preregistered online studies supported this prediction. Conservatism was associated with perceiving less personal vulnerability to the virus and the virus’s severity as lower, and stronger endorsement of the beliefs that the media had exaggerated the virus’s impact and that the spread of the virus was a conspiracy. Conservatism also predicted less accurate discernment between real and fake COVID-19 headlines and fewer accurate responses to COVID-19 knowledge questions. Path analyses suggested that presidential approval, knowledge about COVID-19, and news discernment mediated the relationship between ideology and perceived vulnerability. These results suggest that the relationship between political ideology and threat perceptions may depend on issue framing by political leadership and media.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                August 2021
                26 August 2021
                26 August 2021
                : 23
                : 8
                : e27681
                Affiliations
                [1 ] Blockchain Policy Research Center Cyber Emotions Research Institute Yeungnam University Gyeongsan-si Republic of Korea
                [2 ] Department of Media and Communication Yeungnam University Gyeongsan-si Republic of Korea
                [3 ] Interdisciplinary Graduate Programs of Digital Convergence Business Yeungnam University Gyeongsan-si Republic of Korea
                [4 ] Interdisciplinary Graduate Programs of East Asian Cultural Studies Yeungnam University Gyeongsan-si Republic of Korea
                Author notes
                Corresponding Author: Han Woo Park hanpark@ 123456ynu.ac.kr
                Author information
                https://orcid.org/0000-0003-0544-3911
                https://orcid.org/0000-0002-1378-2473
                Article
                v23i8e27681
                10.2196/27681
                8396544
                34280119
                c56ee3b5-15c2-427e-b3ca-24d639a85140
                ©Yu Peng Zhu, Han Woo Park. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.08.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 2 February 2021
                : 30 March 2021
                : 16 June 2021
                : 10 July 2021
                Categories
                Original Paper
                Original Paper

                Medicine
                quadruple helix model,covid-19,structural analysis,content analysis,network analysis,public health,webometrics,infodemiology,infoveillance,development,internet,online health information,structure,communication,big data

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