Title: Sentiment analysis of social media on COVID-19 vaccination
Authors: Jun Han Chan; Mohd Azam Osman; Yulita Hanum P. Iskandar
Addresses: Graduate School of Business, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia ' School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia ' Graduate School of Business, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia
Abstract: People are actively debating the Malaysia vaccination topic on the internet, and some of the opinions published on the internet may have a big impact on internet users' attitudes about the Malaysia vaccination program, whether they favour or reject the vaccine for their personal benefit. There was no research on infectious factors on social media in Malaysia during the epidemic years. The goal of this study was to identify the social media variables that impact the COVID-19 vaccination rate in Malaysia, as well as to investigate the relationship between demographic characteristics in Malaysia and social media factors. The data was gathered and analysed using the online smart social analytic tools Awario and Octaparse, as well as the hashtags #jkjav and #jkjavmy., According to the findings, the majority of social media sentiment for this vaccine issue is neutral, followed by negative and positive attitude. The main platform for top influencers on internet is news and blog websites, followed by X (Twitter) official accounts. The presence of keywords, as well as X (Twitter) like and retweet engagement, might represent the trend of Malaysia's vaccination rate. The study found that the majority of positive and negative attitude issues on social media are influenced by the government's performance and success in administering the vaccination program.
Keywords: vaccination; social media; health mortality.
DOI: 10.1504/IJMEI.2025.149624
International Journal of Medical Engineering and Informatics, 2025 Vol.17 No.6, pp.569 - 580
Received: 27 Apr 2022
Accepted: 18 Nov 2022
Published online: 07 Nov 2025 *