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

Ahmad Rizal, A.R. and Nordin, S.M. and Ahmad, W.F.W. and Ahmad Khiri, M.J. and Hussin, S.H. (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). ISSN 16617827

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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 em-barks 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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Item Type: Article
Additional Information: cited By 14
Uncontrolled Keywords: coronavac; tozinameran; vaxzevria, communication; COVID-19; decision making; disease control; governance approach; information and communication technology; media role; social media; state role; vaccination; vaccine, adult; Article; attitude to health; coronavirus disease 2019; data accuracy; data completeness; decision making; drug information; elaboration likelihood model; evidence based medicine; factorial design; female; human; information processing; Malaysia; male; perceived informativeness; perceived persuasiveness; pilot study; social media; statistical model; vaccination; vaccine hesitancy; attitude; behavior; prevention and control; statistical model; vaccination, Attitude; COVID-19; COVID-19 Vaccines; Humans; Intention; Likelihood Functions; SARS-CoV-2; Social Media; Vaccination
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 19 Dec 2023 03:23
Last Modified: 19 Dec 2023 03:23
URI: https://khub.utp.edu.my/scholars/id/eprint/17100

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