Using the ELM to Explore the Impact of Fake News on Panic Vaccination Intention: Taiwan's COVID-19 Vaccination Phenomenon

The study explores the effects of COVID-19 vaccine fake news on social media from the perspective of the elaboration likelihood model (ELM). The research model theorizes that factors of the central route and factors of the peripheral route influence panic vaccination intention through the third-pers...

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Bibliographic Details
Published in:Journal of global information management 2024-01, Vol.32 (1), p.1-39
Main Authors: Cheng, Hsiang-Lan, Tan, Chiew Mei, Chiu, Chao-Min, Huang, Hsin-Yi, Lee, Yi-Chien
Format: Article
Language:English
Subjects:
Attitudes
COVID-19
COVID-19 vaccines
Digital media
Disinformation
Epidemics
False information
Hypotheses
Influence
Information management
News
Pandemics
Panic
Public opinion
Self-efficacy
Social media
Social networks
Social norms
Surveys
Vaccination
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Summary:The study explores the effects of COVID-19 vaccine fake news on social media from the perspective of the elaboration likelihood model (ELM). The research model theorizes that factors of the central route and factors of the peripheral route influence panic vaccination intention through the third-person effect of fake news, personal norm, and the individual's attitude toward panic vaccination (i.e., the vaccination equivalent of “panic buying”). Data were collected via an online survey with 409 valid responses. The study applies partial least squares (PLS) structural equation modeling (SEM) to test the hypotheses. The findings have theoretical and practical implications and provide insights to help reduce the spread of fake news on social media during an outbreak to better ensure that people are not misled by fake news.
ISSN:1062-7375
1533-7995
DOI:10.4018/JGIM.335487