Shifting moods on Sina Weibo: The first 12 weeks of COVID-19 in Wuhan
Shifting moods on Sina Weibo: The first 12 weeks of COVID-19 in Wuhan
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DOI：
10.1177/14614448211058850
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发表时间：
2021-11
影响因子：
5
通讯作者：
Peng Zheng;P. Adams;Jiejie Wang
中科院分区：
文献类型：
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作者：
Peng Zheng;P. Adams;Jiejie Wang
更好地了解社交媒体在危机情况下的使用有助于改善决策者、组织、企业和公众的灾害管理。它还可以建立对社会生活和公民身份如何融入社交媒体使用的理论理解。这项研究追踪了中国武汉在中国微博平台新浪微博上发现COVID-19后的前12周内公众情绪的演变。数据包括133，079条关于新型冠状病毒的原始新浪微博帖子。利用ROST内容挖掘系统和大连理工大学的情绪词汇表，纵向追踪了八个不同情绪组的相对流行率。该研究发现，从困惑/恐惧，失望/沮丧，抑郁/焦虑，然后最终到幸福/感激的进展。它认为，这一进展标志着数字医疗公民的情感能量不断变化，这反过来又表明了未来危机干预的背景。
Better understanding of social media uses in crisis situations can help improve disaster management by policy-makers, organizations, businesses, and members of the public. It can also build theoretical understanding of how social life and citizenship incorporate social media usage. This study tracks the evolution of public sentiment in Wuhan, China, during the first 12 weeks after the identification of COVID-19 on the Chinese microblogging platform Sina Weibo. Data consist of 133,079 original Sina Weibo posts dealing with the novel coronavirus. The relative prevalence of eight different emotion groups is traced longitudinally using the ROST Content Mining System and the Emotion Vocabulary of Dalian University of Technology. The study finds a progression from confusion/fear, to disappointment/frustration, to depression/anxiety, then finally to happiness/gratitude. It argues that this progression indexes the changing affective energies of digital medical citizenship, which in turn indicates the context for intervention in future crises.