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- Title
城市微博数据驱动的群体疫情情感响应时空特征 --以武汉市和石家庄市新冠疫情为例
- Authors
姜伟; 郝智辉; 王艳东; 曹卫东; 夏江; 吴浩泽; 樊 成
- Abstract
Studying the spatio-temporal characteristics of people7 s emotional responses to pandemic is of great significance for pacifying people's emotions and optimizing control measures. This paper proposes a spatio-temporal framework ol analyzing urban groups7 multi-dimensional emotional responses in the pandemic scenario by combining geo tagged Sina Weibo data and survey questionnaires・ The framework can evaluate the urban groups7 multi-dimensional emotional responses with high accuracy・ Besides, the spatio-temporal characteristics and significant influencing factors of emotion change of urban groups can be investigated based on this framework. The results show that:l) the evaluation method is an effective and accurate way to quantily the urban groups7 multi-dimensional emotional responses; 2) the control measures taken by the government can effectively pacify the negative emotions, such as fear and anger;3) happiness is the dominant emotional response of urban groups during the pandemic) when the COVID-19 pandemic happens again, the rising range of negative emotions of urban groups will decrease significantly. This study can provide method and decision supports for government to enhance the ability of epidemic emotion monitoring and improve the level of emotion management.
- Subjects
COVID-19 pandemic; HAPPINESS; GOVERNMENT aid; EMOTIONS; EVALUATION methodology
- Publication
Geography & Geographic Information Science, 2022, Vol 38, Issue 1, p5
- ISSN
1672-0504
- Publication type
Article
- DOI
10.3969/j.issn.1672--0504.2022.01.002