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Predicting health communication patterns in follower–influencer networks: The case of taiwan amid covid-19
Chang, Angela; Jiao, Wen
2020-08-01
Source PublicationAsian Journal for Public Opinion Research
ISSN2288-6168
Volume8Issue:3Pages:246-264
Abstract

As netizens increasingly utilize social media to obtain and engage with information, this study aims to determine the extent to which the follower–influencer interaction is manifested and strengthened. To analyze information related to the novel coronavirus disease (COVID-19), a total of 62,119 online posts from 11 Internet forums were examined to find a relationship between followers and influencers in Taiwan. These forums are PTT, SOGO, Ck101, Plurk, Mobile01, TalkFetnet, Gamez, PlaySport, Dcard, Eyny, and PCDVD. The variables that were the best predictors of influencer classification were strong influences, engagements, and hot values across 11 Internet forums. Learning the response to the COVID-19 pandemic is vital because public actions could have been fueled by stigmatizing terms that may harm public health and well-being. The results questioned the conventional diffusion of traditional news sources because the influencers brought widespread attention to the health threat issues in the early outbreak stages. This study enhances the understanding of forum types, follower engagement, and influencers’ impact maximization in social networks. The conclusion provides insight into the relationships and information diffusion mechanisms to ensure accurate health information dissemination.

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KeywordCovid-19 Engagement Followership Health Information Internet Forum Risk Communication
DOI10.15206/ajpor.2020.8.3.246
URLView the original
Language英語English
Scopus ID2-s2.0-85091660171
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Document TypeJournal article
CollectionUniversity of Macau
AffiliationDepartment of Communication, University of Macau, Taipa, Avenida da Universidade, Macao
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Chang, Angela,Jiao, Wen. Predicting health communication patterns in follower–influencer networks: The case of taiwan amid covid-19[J]. Asian Journal for Public Opinion Research, 2020, 8(3), 246-264.
APA Chang, Angela., & Jiao, Wen (2020). Predicting health communication patterns in follower–influencer networks: The case of taiwan amid covid-19. Asian Journal for Public Opinion Research, 8(3), 246-264.
MLA Chang, Angela,et al."Predicting health communication patterns in follower–influencer networks: The case of taiwan amid covid-19".Asian Journal for Public Opinion Research 8.3(2020):246-264.
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