COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis.
COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis.
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DOI：
10.2196/24435
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发表时间：
2021-06-29
影响因子：
7.4
通讯作者：
Luli GK
中科院分区：
文献类型：
--
作者：
Lyu JC;Han EL;Luli GK
疫苗接种是预防传染性疾病的基石;然而，疫苗传统上会遇到公众的恐惧和犹豫，COVID-19疫苗也不例外。事实证明，社交媒体的使用是导致疫苗接受度较低的原因之一。本研究的目的是识别社交媒体上与COVID-19疫苗相关的公众讨论中的主题和情绪，并辨别主题和情绪随时间的显著变化，以更好地了解可能影响群体免疫目标实现的公众认知、担忧和情绪。推文下载自2020年3月11日（世界卫生组织宣布COVID-19为大流行病的当天）至2021年1月31日的大规模COVID-19 Twitter聊天数据集。我们使用R软件来清理推文，并保留包含关键字vaccination，vaccinations，vaccine，vaccines，immunization，vaccinate和vaccinated的推文。分析中包含的最终数据集包括来自583，499个不同用户的1，499，421条独特推文。我们使用R来执行潜在的Dirichlet分配主题建模以及使用加拿大情感词典的国家研究理事会进行情感和情绪分析。与COVID-19疫苗相关的推文的主题建模产生了16个主题，这些主题被分为5个总体主题。关于疫苗接种的意见（227，840/1，499，421条推文，15.2%）是推文次数最多的话题，并且在我们检查的大部分时间里仍然是一个高度讨论的话题。2020年8月11日前后，全球疫苗进展成为讨论最多的话题，当时俄罗斯批准了全球首个COVID-19疫苗。随着疫苗接种的推进，接种疫苗的指导话题逐渐凸显，并在2021年1月的第一周后成为讨论最多的话题。每周平均情绪得分显示，尽管波动，情绪总体上越来越积极。情绪分析进一步显示，信任是最主要的情绪，其次是预期、恐惧、悲伤等，信任情绪在2020年11月9日辉瑞宣布其疫苗有效率为90%时达到顶峰。Twitter上有关COVID-19疫苗的公开讨论主要由有关COVID-19疫苗的重大事件推动，并反映了主流媒体的活跃新闻话题。讨论还展示了全球视角。围绕COVID-19疫苗的积极情绪日益增加，社交媒体讨论中显示出的信任情绪占主导地位，这可能意味着与以往的疫苗相比，COVID-19疫苗的接受度更高。
Vaccination is a cornerstone of the prevention of communicable infectious diseases; however, vaccines have traditionally met with public fear and hesitancy, and COVID-19 vaccines are no exception. Social media use has been demonstrated to play a role in the low acceptance of vaccines. The aim of this study is to identify the topics and sentiments in the public COVID-19 vaccine–related discussion on social media and discern the salient changes in topics and sentiments over time to better understand the public perceptions, concerns, and emotions that may influence the achievement of herd immunity goals. Tweets were downloaded from a large-scale COVID-19 Twitter chatter data set from March 11, 2020, the day the World Health Organization declared COVID-19 a pandemic, to January 31, 2021. We used R software to clean the tweets and retain tweets that contained the keywords vaccination, vaccinations, vaccine, vaccines, immunization, vaccinate, and vaccinated. The final data set included in the analysis consisted of 1,499,421 unique tweets from 583,499 different users. We used R to perform latent Dirichlet allocation for topic modeling as well as sentiment and emotion analysis using the National Research Council of Canada Emotion Lexicon. Topic modeling of tweets related to COVID-19 vaccines yielded 16 topics, which were grouped into 5 overarching themes. Opinions about vaccination (227,840/1,499,421 tweets, 15.2%) was the most tweeted topic and remained a highly discussed topic during the majority of the period of our examination. Vaccine progress around the world became the most discussed topic around August 11, 2020, when Russia approved the world’s first COVID-19 vaccine. With the advancement of vaccine administration, the topic of instruction on getting vaccines gradually became more salient and became the most discussed topic after the first week of January 2021. Weekly mean sentiment scores showed that despite fluctuations, the sentiment was increasingly positive in general. Emotion analysis further showed that trust was the most predominant emotion, followed by anticipation, fear, sadness, etc. The trust emotion reached its peak on November 9, 2020, when Pfizer announced that its vaccine is 90% effective. Public COVID-19 vaccine–related discussion on Twitter was largely driven by major events about COVID-19 vaccines and mirrored the active news topics in mainstream media. The discussion also demonstrated a global perspective. The increasingly positive sentiment around COVID-19 vaccines and the dominant emotion of trust shown in the social media discussion may imply higher acceptance of COVID-19 vaccines compared with previous vaccines.
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影响因子：
3.7
作者：
Gore RJ;Diallo S;Padilla J
通讯作者：
Padilla J
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7.8
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作者：
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通讯作者：
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影响因子：
7.4
作者：
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通讯作者：
Augustson E