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

被引:0
|
作者
Cheng, Hsiang -Lan [1 ]
Tan, Chiew Mei [2 ]
Chiu, Chao -Min [2 ]
Huang, Hsin-Yi [3 ]
Lee, Yi-Chien [2 ]
机构
[1] Taiwan Ctr Dis Control, Taipei, Taiwan
[2] Natl Sun Yat Sun Univ, Kaohsiung, Taiwan
[3] Soochow Univ, Taipei, Taiwan
关键词
COVID-19; Elaboration Likelihood Model; Fake News; Outbreak; Panic Vaccination Intention; Social Media; Social Norms Theory; Third-Person Effect; ELABORATION LIKELIHOOD MODEL; PARTIAL LEAST-SQUARES; INFORMATION-TECHNOLOGY; SOCIAL MEDIA; PRODUCT INVOLVEMENT; DIFFERENTIAL IMPACT; MORAL DISENGAGEMENT; PLANNED BEHAVIOR; USER ACCEPTANCE; SELF-EFFICACY;
D O I
10.4018/JGIM.335487
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
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.
引用
收藏
页码:1 / 39
页数:39
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