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Analysis of social media data for public emotion on the Wuhan lockdown event during the COVID-19 pandemic.
Cao, Guang; Shen, Lining; Evans, Richard; Zhang, Zhiguo; Bi, Qiqing; Huang, Wenjing; Yao, Rui; Zhang, Wenli.
  • Cao G; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China. Electronic address: m18435146247@163.com.
  • Shen L; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China; Hubei Provincial Research Center for Health Technology Assessment, Wuhan, China; Institute of Smart Health, Huazhong University of Science & Technology, Wuhan, China.
  • Evans R; College of Engineering, Design and Physical Sciences, Brunel University London, London, United Kingdom. Electronic address: richard.evans@brunel.ac.uk.
  • Zhang Z; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China; Hubei Provincial Research Center for Health Technology Assessment, Wuhan, China. Electronic address: zhangzhiguo@hust.edu.cn.
  • Bi Q; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China. Electronic address: biqiqing1995@163.com.
  • Huang W; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China. Electronic address: huangwenjing_wuhan@163.com.
  • Yao R; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China. Electronic address: yaorui37@163.com.
  • Zhang W; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China. Electronic address: zwl19960318@163.com.
Comput Methods Programs Biomed ; 212: 106468, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1525744
ABSTRACT

BACKGROUND:

With outbreaks of COVID-19 around the world, lockdown restrictions are routinely imposed to limit the spread of the virus. During periods of lockdown, social media has become the main channel for citizens to exchange information with others. Public emotions are being generated and shared rapidly online with citizens using internet platforms to reduce anxiety and stress, and stay connected while isolated.

OBJECTIVES:

This study aims to explore the regularity of emotional evolution by examining public emotions expressed in online discussions about the Wuhan lockdown event in January 2020.

METHODS:

Data related to the Wuhan lockdown was collected from Sina Weibo by web crawler. In this study, the Ortony, Clore, and Collins (OCC) model, Word2Vec, and Bi-directional Long Short-Term Memory model were employed to determine emotional types, train vectorization of words, and identify each text emotion for the training set. Latent Dirichlet Allocation models were also employed to mine the various topic categories, while topic emotional evolution was visualized.

RESULTS:

Seven types of emotions and four phases were categorized to describe emotional evolution on the Wuhan lockdown event. The study found that negative emotions such as blame and fear dominated in the early days, and public attitudes towards the lockdown gradually alleviated and reached a balance as the situation improved. Emotional expression about Wuhan lockdown event were significantly related to users' gender, location, and whether or not their account was verified. There were statistically significant correlations between different emotions within the subtle emotional categories. In addition, the evolution of emotions presented a different path due to different topics.

CONCLUSIONS:

Multiple emotional categories were determined in our study, providing a detailed and explainable emotion analysis to explored emotional appeal of citizen. The public emotions were gradually easing related to the Wuhan lockdown event, there yet exists regional discrimination and post-traumatic stress disorder in this process, which would lead us to pay continuous attention to citizens lives and psychological status post-pandemic. In addition, this study provided an appropriate method and reference case for the government's public opinion control and emotional appeasement.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Comput Methods Programs Biomed Journal subject: Medical Informatics Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Comput Methods Programs Biomed Journal subject: Medical Informatics Year: 2021 Document Type: Article