What Indonesian Netizen Says about Covid-19 Vaccination? A Corpus Assisted Discourse Studies of YouTube’s Comment

Annada Nasyaya, Farisha Sestri Musdalifah, Yosi Arianti
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Abstract

This research analyzes the views of the Indonesian people regarding Covid-19 vaccination through comments on the YouTube social media platform. This study aimed to analyze arguments, discussion patterns, attitudes, and views of the Indonesian people in the YouTube video comments at the start of the Covid-19 vaccination in Indonesia. Academically, this research provides in-depth information about the views of the Indonesian people on Covid-19 vaccination, which comes from online comments. This research is helpful for information providers and governments to make evidence-based policies and campaigns for effective communication strategies for vaccination programs. This study uses mixed methods by combining corpus linguistic methods with critical discourse analysis. Using the help of Antcont software, we analyzed 22,529 comments on the five videos about Covid-19 vaccination. The results showed various public views about vaccines; we found fifteen categories of comments: actors, health, media, rejection, acceptance, state, religious, mass, Islam, other countries, law, economy, region, knowledge, and politics. The contribution of this research is to fill in the gaps in the literature about people's reactions to vaccination in the context of social media. The implication of this research is to contribute to decision makers to take evidence-based policies to communicate Covid-19 vaccination.
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印尼网友对新冠疫苗的看法?基于语料库的YouTube评论语篇研究
本研究通过YouTube社交媒体平台上的评论分析了印尼民众对Covid-19疫苗接种的看法。本研究旨在分析印度尼西亚Covid-19疫苗接种开始时YouTube视频评论中印度尼西亚人民的论点、讨论模式、态度和观点。在学术上,这项研究提供了关于印度尼西亚人民对Covid-19疫苗接种的看法的深入信息,这些观点来自在线评论。这项研究有助于信息提供者和政府制定基于证据的政策和运动,为疫苗接种计划制定有效的沟通策略。本研究采用语料库语言学和批评语篇分析相结合的混合方法。利用Antcont软件,我们分析了5个关于Covid-19疫苗接种的视频的22529条评论。结果显示了公众对疫苗的不同看法;我们找到了15类评论:演员、健康、媒体、拒绝、接受、国家、宗教、大众、伊斯兰教、其他国家、法律、经济、地区、知识和政治。这项研究的贡献是填补了关于人们在社交媒体背景下对疫苗接种反应的文献空白。本研究的意义是有助于决策者采取基于证据的政策来宣传Covid-19疫苗接种。
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发文量
21
审稿时长
8 weeks
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