社交媒体情绪分析监测全国 COVID-19 疫苗推广初期的疫苗接种覆盖率表现。
Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout.
机构信息
Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan; Department of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan; Office of Public Affairs, Taipei Medical University, Taipei, Taiwan.
出版信息
Comput Methods Programs Biomed. 2022 Jun;221:106838. doi: 10.1016/j.cmpb.2022.106838. Epub 2022 Apr 27.
BACKGROUND AND OBJECTIVE
Social media sentiment analysis based on Twitter data can facilitate real-time monitoring of COVID-19 vaccine-related concerns. Thus, the governments can adopt proactive measures to address misinformation and inappropriate behaviors surrounding the COVID-19 vaccine, threatening the success of the national vaccination campaign. This study aims to identify the correlation between COVID-19 vaccine sentiments expressed on Twitter and COVID-19 vaccination coverage, case increase, and case fatality rate in Indonesia.
METHODS
We retrieved COVID-19 vaccine-related tweets collected from Indonesian Twitter users between October 15, 2020, to April 12, 2021, using Drone Emprit Academic (DEA) platform. We collected the daily trend of COVID-19 vaccine coverage and the rate of case increase and case fatality from the Ministry of Health (MoH) official website and the KawalCOVID19 database, respectively. We identified the public sentiments, emotions, word usage, and trend of all filtered tweets 90 days before and after the national vaccination rollout in Indonesia.
RESULTS
Using a total of 555,892 COVID-19 vaccine-related tweets, we observed the negative sentiments outnumbered positive sentiments for 59 days (65.50%), with the predominant emotion of anticipation among 90 days of the beginning of the study period. However, after the vaccination rollout, the positive sentiments outnumbered negative sentiments for 56 days (62.20%) with the growth of trust emotion, which is consistent with the positive appeals of the recent news about COVID-19 vaccine safety and the government's proactive risk communication. In addition, there was a statistically significant trend of vaccination sentiment scores, which strongly correlated with the increase of vaccination coverage (r = 0.71, P<.0001 both first and second doses) and the decreasing of case increase rate (r = -0.70, P<.0001) and case fatality rate (r = -0.74, P<.0001).
CONCLUSIONS
Our results highlight the utility of social media sentiment analysis as government communication strategies to build public trust, affecting individual willingness to get vaccinated. This finding will be useful for countries to identify and develop strategies for speed up the vaccination rate by monitoring the dynamic netizens' reactions and expression in social media, especially Twitter, using sentiment analysis.
背景与目的
基于 Twitter 数据的社交媒体情绪分析可以促进对 COVID-19 疫苗相关问题的实时监测。因此，政府可以采取积极措施解决 COVID-19 疫苗周围的错误信息和不当行为，这些问题威胁着国家疫苗接种运动的成功。本研究旨在确定在印度尼西亚，Twitter 上表达的 COVID-19 疫苗情绪与 COVID-19 疫苗接种覆盖率、病例增加和病死率之间的相关性。
方法
我们使用 Drone Emprit Academic（DEA）平台从 2020 年 10 月 15 日至 2021 年 4 月 12 日期间检索了印度尼西亚 Twitter 用户收集的与 COVID-19 疫苗相关的推文。我们从卫生部（MoH）官方网站和 KawalCOVID19 数据库分别收集了 COVID-19 疫苗接种覆盖率以及病例增加和病死率的每日趋势。我们确定了在印度尼西亚全国疫苗接种开始前后 90 天内所有筛选推文的公众情绪、情绪、用词和趋势。
结果
使用总共 555892 条与 COVID-19 疫苗相关的推文，我们观察到负面情绪超过正面情绪的天数为 59 天（65.50%），在研究开始的 90 天内主要情绪是期待。然而，在疫苗接种开始后，积极情绪超过消极情绪的天数为 56 天（62.20%），信任情绪增加，这与最近有关 COVID-19 疫苗安全性和政府积极风险沟通的积极消息相吻合。此外，疫苗接种情绪评分呈显著趋势，与疫苗接种覆盖率的增加（r=0.71，P<.0001 第一剂和第二剂）和病例增长率的降低（r=-0.70，P<.0001）和病死率的降低（r=-0.74，P<.0001）呈强相关。
结论
我们的结果强调了社交媒体情绪分析作为政府沟通策略的效用，以建立公众信任，影响个人接种疫苗的意愿。这一发现将有助于各国通过监测社交媒体，特别是 Twitter 上的网民动态反应和表达，利用情绪分析来识别和制定加快疫苗接种率的策略。
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