Residential College | false |
Status | 已發表Published |
Predicting health communication patterns in follower–influencer networks: The case of taiwan amid covid-19 | |
Chang, Angela; Jiao, Wen | |
2020-08-01 | |
Source Publication | Asian Journal for Public Opinion Research |
ISSN | 2288-6168 |
Volume | 8Issue: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. |
Other Abstract |
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Keyword | Covid-19 Engagement Followership Health Information Internet Forum Risk Communication |
DOI | 10.15206/ajpor.2020.8.3.246 |
URL | View the original |
Language | 英語English |
Scopus ID | 2-s2.0-85091660171 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Affiliation | Department of Communication, University of Macau, Taipa, Avenida da Universidade, Macao |
First Author Affilication | University 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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