A Mixed-Method Analysis of People’s Perception and Behaviour on Vaccination Program in Online Social Media

S. A. Soelar, Nurakmal Ahmad Mustaffa
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Abstract

Introduction: Social media has been a major source of various parties obtaining misinformation about vaccination programs and it has raised doubts about the vaccine, especially among parents. Vaccine hesitancy was listed as one of the top ten issues that threaten global health by the World Health Organization (WHO) in 2019. Therefore, this study aimed to examine sentiment on vaccines from Facebook pages, focusing on Facebook users’ views on vaccination programs through a mixed-method approach, which is a qualitative and quantitative combination analysis. Methods: This analysis uses all comments posted on Facebook pages downloaded using Facepager software from 01 December 2020 to 31 December 2020. R software is used to clean the comments and performed the sentiment analysis, while Gephi software is used to perform the semantic network analysis. Results: Out of 5,055 comments, the majority of the comments are negative sentiment (49.33%), followed by positive (32.58%) and neutral (18.08%) sentiment. For the negative sentiment, tolak, mati, and cucuk were the most frequent words ever used. For the positive sentiment, terima, setuju, and selamat were the most frequent words ever used. The positive network centered around the word dajjal focused on the word lab and FDA. In contrast, the negative network centered around the word vaksin focused on the word semulajadi and kerajaan. Conclusion: These findings are useful to understand the problem of parents who are skeptical of the vaccination program and also can be a guide for public health to communicate with the public through social media.
在线社交媒体中人们对疫苗接种计划的认知和行为的混合方法分析
导读:社交媒体一直是各方获取有关疫苗接种计划的错误信息的主要来源,它引起了人们对疫苗的怀疑,尤其是在父母中。2019年,世界卫生组织(WHO)将疫苗犹豫列为威胁全球健康的十大问题之一。因此,本研究旨在研究Facebook页面对疫苗的看法,重点关注Facebook用户对疫苗接种计划的看法,通过混合方法,即定性和定量结合分析。方法:本分析使用2020年12月1日至2020年12月31日期间使用Facepager软件下载的Facebook页面上发布的所有评论。使用R软件进行评论清理和情感分析,使用Gephi软件进行语义网络分析。结果:5055条评论中,负面情绪居多(49.33%),其次是正面情绪(32.58%)和中性情绪(18.08%)。对于消极情绪,tolak, mati和cucuk是使用频率最高的单词。在积极情绪方面,“terima”、“setuju”、“selamat”是使用频率最高的词汇。正向网络以dajjal为中心,以lab和FDA为中心。相反,以vaksin为中心的负面网络则集中在semulajadi和kerajaan上。结论:这些发现有助于理解家长对疫苗接种计划持怀疑态度的问题,也可以为公共卫生部门通过社交媒体与公众进行沟通提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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