ArticleJMIR medical informatics2021
Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data.
Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Understanding Public Emotions: Spatiotemporal Dynamics in the Post-Pandemic Era Through Weibo Data.Behavioral sciences (Basel, Switzerland) · 2025Article
- Article
- Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study.JMIR infodemiology · 2024Article
- Analysis of the evolving factors of social media users' emotions and behaviors: a longitudinal study from China's COVID-19 opening policy period.BMC public health · 2023Article
- "Help Us!": a content analysis of COVID-19 help-seeking posts on Weibo during the first lockdown.BMC public health · 2023Article
- Community pandemic prevention and control measures and their influence on citizen satisfaction during the COVID-19 pandemic in China.International journal of disaster risk reduction : IJDRR · 2023Article
- Social divisions and risk perception drive divergent epidemics and large later waves.Evolutionary human sciences · 2023Article
- Using geospatial social media data for infectious disease studies: a systematic review.International journal of digital earth · 2023Article
- The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data.JMIR formative research · 2022Article
- The Association of Social Emotions, Perceived Efficiency, Transparency of the Government, Concerns about COVID-19, and Confidence in Fighting the Pandemic under the Week-Long Lockdown in Shenzhen, China.International journal of environmental research and public health · 2022Article
- China public emotion analysis under normalization of COVID-19 epidemic: Using Sina Weibo.Frontiers in psychology · 2022Article
- COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study.Journal of medical Internet research · 2021Article
- Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19.Frontiers in public health · 2021Article
- Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China.Frontiers in psychology · 2021Article
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6 authors.
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Abstract
backgroundWuhan, China, the epicenter of the COVID-19 pandemic, imposed citywide lockdown measures on January 23, 2020. Neighboring cities in Hubei Province followed suit with the government enforcing social distancing measures to restrict the spread of the disease throughout the province. Few studies have examined the emotional attitudes of citizens as expressed on social media toward the imposed social distancing measures and the factors that affected their emotions.
objectiveThe aim of this study was twofold. First, we aimed to detect the emotional attitudes of different groups of users on Sina Weibo toward the social distancing measures imposed by the People's Government of Hubei Province. Second, the influencing factors of their emotions, as well as the impact of the imposed measures on users' emotions, was studied.
methodsSina Weibo, one of China's largest social media platforms, was chosen as the primary data source. The time span of selected data was from January 21, 2020, to March 24, 2020, while analysis was completed in late June 2020. Bi-directional long short-term memory (Bi-LSTM) was used to analyze users' emotions, while logistic regression analysis was employed to explore the influence of explanatory variables on users' emotions, such as age and spatial location. Further, the moderating effects of social distancing measures on the relationship between user characteristics and users' emotions were assessed by observing the interaction effects between the measures and explanatory variables.
resultsBased on the 63,169 comments obtained, we identified six topics of discussion-(1) delaying the resumption of work and school, (2) travel restrictions, (3) traffic restrictions, (4) extending the Lunar New Year holiday, (5) closing public spaces, and (6) community containment. There was no multicollinearity in the data during statistical analysis; the Hosmer-Lemeshow goodness-of-fit was 0.24 (χ
conclusionsFindings provide a reference point for the adoption of epidemic prevention and control measures, and are considered helpful for government agencies to take timely actions to alleviate negative emotions during public health emergencies.
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