The governance strategies for public emergencies on social media and their effects: a case study based on the microblog data

The governance strategies for public emergencies on social media and their effects: a case study based on the microblog data
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社交媒体突发公共事件治理策略及其效果——基于微博数据的案例研究

DOI:
10.1007/s12525-015-0202-1
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发表时间:
2016-02-01
期刊:
影响因子:
8.5
通讯作者:
Guan, Xin
Guan, Xin
中科院分区:
管理学3区
文献类型:
--
作者:
Meng, Qingguo;Zhang, Nan;Guan, Xin

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20世纪80年代以来,信息和通信技术的发展极大地改变了人们的生产方式和生活方式,也对传统社会结构产生了重大影响。微博-一种社交媒体应用程序,如Twitter或微博-已成为中国一些地方政府网络治理的重要平台。本研究试图回答以下问题:在突发公共事件中,政府应该在社交媒体平台上实施什么样的策略?这些策略的效果如何?本文以2012年发生在中国什邡的大规模环境抗议事件“什邡事件”为例,分析了什邡市政府官方微博在事件发生期间发布的所有消息,并使用在线大数据分析工具对公众反馈进行了分析。按照冲突发生的时间顺序和程度,我们将什邡事件分为三个阶段:发酵期、对抗期和消化期。此外,我们将政府在社交媒体上的策略分为五类:介绍,呼吁,解释,辟谣和决策。分析结果显示,政府在事件的不同阶段会采取不同的策略,而公众在不同时期的反应亦有所不同。
Since the 1980s, the development of information and communication technologies (ICTs) has greatly changed people's modes of production and lifestyle, and it has also had a significant influence on traditional social structures. Microblogs - a type of social media application such as Twitter or Weibo - have served as an important platform for network governance in some local governments in China. This study makes an attempt to answer the following questions: What types of strategies should governments implement on social media platforms during public emergencies? What are the effects of these strategies? Based on the case of the Shifang Incident, which was a large-scale environmental protest that occurred in Shifang, China in 2012, we analyze all the messages posted during the incident on the official microblog of the Shifang government and examine the public feedback by using an online big data analysis tool. In line with the time sequence and the extent of the conflict, we divide the Shifang Incident into three phases: the fermentation period, the confrontation period, and the digestion period. In addition, we classify government strategies on social media into five categories: introducing, appealing, explaining, rumor-refuting, and decision-making. The analysis results show that different government strategies are applied to different phases of the incident and that the responses of the public also vary during different periods.