How Does Social Media Influence People to Get Vaccinated? The Elaboration Likelihood Model of a Person’s Attitude and Intention to Get COVID-19 Vaccines

Ammar Redza, Ahmad Rizal and Shahrina, Md Nordin and Wan Fatimah, Wan Ahmad and Muhammad Jazlan, Ahmad Khiri and Siti Haslina, Hussin (2022) How Does Social Media Influence People to Get Vaccinated? The Elaboration Likelihood Model of a Person’s Attitude and Intention to Get COVID-19 Vaccines. International Journal of Environmental Research and Public Health, 19 (4). pp. 1-21. ISSN 1661-7827

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Official URL: https://www.mdpi.com/1660-4601/19/4/2378

Abstract

The global COVID-19 mass vaccination program has created a polemic amongst pro- and anti-vaccination groups on social media. However, the working mechanism on how the shared information might influence an individual decision to be vaccinated is still limited. This study embarks on adopting the elaboration likelihood model (ELM) framework. We examined the function of central route factors (information completeness and information accuracy) as well as peripheral route factors (experience sharing and social pressure) in influencing attitudes towards vaccination and the intention to obtain the vaccine. We use a factorial design to create eight different scenarios in the form of Twitter posts to test the interaction and emulate the situation on social media. In total, 528 respondents were involved in this study. Findings from this study indicated that both the central route and peripheral route significantly influence individually perceived informativeness and perceived persuasiveness. Consequently, these two factors significantly influence attitude towards vaccination and intention to obtain the vaccine. According to the findings, it is suggested that, apart from evidence-based communication, the government or any interested parties can utilize both experience sharing and social pressure elements to increase engagement related to COVID-19 vaccines on social media, such as Twitter.

Item Type: Article
Additional Information: COVID-19
Uncontrolled Keywords: social media; COVID-19; vaccine; elaboration likelihood model; Twitter; factorial design; decision making.
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Academic Faculties, Institutes and Centres > Faculty of Education, Language and Communication
Depositing User: Gani
Date Deposited: 09 Mar 2022 03:49
Last Modified: 10 Oct 2023 06:59
URI: http://ir.unimas.my/id/eprint/38042

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