Evidence map›Paper›PMID 35206563›Full record

ArticleInternational journal of environmental research and public health2022

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, Shahrina Md Nordin, Wan Fatimah Wan Ahmad, Muhammad Jazlan Ahmad Khiri, Siti Haslina Hussin

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
17.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 47 citations in OpenAlex.

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  14. Health Communication in the Time of COVID-19 Pandemic: A Qualitative Analysis of Italian Advertisements.International journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Ammar Redza Ahmad RizalCentre for Research in Media and Communication (MENTION), Faculty of Science Social and Humanities, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Shahrina Md NordinCentre of Social Innovation, Institute of Sustainable Building, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.
Wan Fatimah Wan AhmadCentre of Social Innovation, Institute of Sustainable Building, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.ORCID 0000-0001-5843-4424
Muhammad Jazlan Ahmad KhiriFaculty of Language and Communication, Universiti Malaysia Sarawak, Kota Samarahan 94300, Malaysia.
Siti Haslina HussinFaculty of Language and Communication, Universiti Malaysia Sarawak, Kota Samarahan 94300, Malaysia.
Universiti Malaysia Sarawak · MYUniversiti Teknologi Petronas · MYNational University of Malaysia · MY

Funding

YUTP-FRG 015CL0-168
6 · The paper itself

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.

Indexed as

COVID-19Social MediaAttitudeCOVID-19 VaccinesHumansIntentionLikelihood FunctionsSARS-CoV-2VaccinationCOVID-19 VaccinesCOVID-19decision makingelaboration likelihood modelfactorial designsocial mediaTwittervaccine

Identifiers

PMID35206563
PMCPMC8872449
OpenAlexW4213176508

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.