Chandrasekaran Ranganathan, Desai Rashi, Shah Harsh, Kumar Vivek, Moustakas Evangelos
Department of Information and Decision Sciences University of Illinois at Chicago Chicago, IL United States.
Middlesex University Dubai United Arab Emirates.
JMIR Infodemiology. 2022 Apr 15;2(1):e33909. doi: 10.2196/33909. eCollection 2022 Jan-Jun.
A global rollout of vaccinations is currently underway to mitigate and protect people from the COVID-19 pandemic. Several individuals have been using social media platforms such as Twitter as an outlet to express their feelings, concerns, and opinions about COVID-19 vaccines and vaccination programs. This study examined COVID-19 vaccine-related tweets from January 1, 2020, to April 30, 2021, to uncover the topics, themes, and variations in sentiments of public Twitter users.
The aim of this study was to examine key themes and topics from COVID-19 vaccine-related English tweets posted by individuals, and to explore the trends and variations in public opinions and sentiments.
We gathered and assessed a corpus of 2.94 million COVID-19 vaccine-related tweets made by 1.2 million individuals. We used CoreX topic modeling to explore the themes and topics underlying the tweets, and used VADER sentiment analysis to compute sentiment scores and examine weekly trends. We also performed qualitative content analysis of the top three topics pertaining to COVID-19 vaccination.
Topic modeling yielded 16 topics that were grouped into 6 broader themes underlying the COVID-19 vaccination tweets. The most tweeted topic about COVID-19 vaccination was related to vaccination policy, specifically whether vaccines needed to be mandated or optional (13.94%), followed by vaccine hesitancy (12.63%) and postvaccination symptoms and effects (10.44%) Average compound sentiment scores were negative throughout the 16 weeks for the topics and . However, consistent positive sentiment scores were observed for the topics , , , , , , , , , , , and . Reversal in sentiment scores in a few weeks was observed for the topics and .
Identification of dominant themes, topics, sentiments, and changing trends about COVID-19 vaccination can aid governments and health care agencies to frame appropriate vaccination programs, policies, and rollouts.
目前正在全球范围内开展疫苗接种工作，以减轻新冠疫情对人们的影响并保护他们。一些人利用推特等社交媒体平台来表达他们对新冠疫苗和疫苗接种计划的感受、担忧及看法。本研究调查了2020年1月1日至2021年4月30日期间与新冠疫苗相关的推文，以揭示推特公众用户的话题、主题及情绪变化。
本研究的目的是调查个人发布的与新冠疫苗相关的英文推文中的关键主题和话题，并探讨公众意见和情绪的趋势及变化。
我们收集并评估了由120万人发布的294万条与新冠疫苗相关的推文语料库。我们使用CoreX主题建模来探索推文背后的主题和话题，并使用VADER情感分析来计算情感得分并检查每周趋势。我们还对与新冠疫苗接种相关的前三大话题进行了定性内容分析。
主题建模产生了16个主题，这些主题被归为新冠疫苗接种推文背后的6个更广泛的主题。关于新冠疫苗接种的推文最多的话题与疫苗接种政策有关，特别是疫苗是需要强制接种还是可选择接种（13.94%），其次是疫苗犹豫（12.63%）和接种后症状及影响（10.44%）。在16周内，主题 和 的平均复合情感得分均为负面。然而，主题 、 、 、 、 、 、 、 、 、 、 和 观察到一致的积极情感得分。主题 和 在几周内观察到情感得分的反转。
识别关于新冠疫苗接种的主要主题、话题、情绪和变化趋势，有助于政府和医疗保健机构制定适当的疫苗接种计划、政策和推广方案。
