INFORMATION RESEARCH

Research on Public Speech Acts Patterns and Sentiment Dissemination in Government Microblogs in Natural Disaster Crisis

  • Zhang Min ,
  • Zhang Fang ,
  • Zhang Ke ,
  • Meng Xinxin
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  • School of Information Management, Central China Normal University, Wuhan 430079

Received date: 2024-03-13

  Revised date: 2024-06-15

  Online published: 2024-10-29

Supported by

This work is supported by the National Social Science Fund of China project titled “Research on Emotional Experience and Utility in Information Acquisition of Governmental Social Media Users” (Grant No. 20BTQ048).

Abstract

[Purpose/Significance] The analysis of public speech acts and sentiment dissemination in natural disaster crisis helps understand the acts intentions, acts patterns and psychological states of government social media users, and provides theoretical support and reference basis for governmental crisis management and public opinion control in crisis events. [Method/Process] Taking the “Typhoon Dusuri” event in 2023 as an example, this research integrated qualitative content coding, lag sequential analysis, cluster analysis, theme mining and other research methods to meticulously analyze 254 blog posts and 5036 comments from five government microblog accounts. [Result/Conclusion] In the natural disaster crisis, public speech acts are mainly concentrated in expressive and declarative categories, and there are three main speech act modes, information, relationship and sentiment at the same time. The public sentiment mainly shows homogeneous infection and negative extended transmission, characterized by temporal stages. Public sentiment levels vary across speech act modes, with information mode in lower sentiment level. The “action and rescue” blog topics significantly increase the public sentiment in all the three modes. Due to the dynamic nature of public participation in governmental social media and the difficulty of portraying the participation process in detail, the speech acts classification, lag sequence analysis and automatic clustering methods used in this study provide new perspectives and methods for public participation in crisis governance research.

Cite this article

Zhang Min , Zhang Fang , Zhang Ke , Meng Xinxin . Research on Public Speech Acts Patterns and Sentiment Dissemination in Government Microblogs in Natural Disaster Crisis[J]. Library and Information Service, 2024 , 68(20) : 104 -117 . DOI: 10.13266/j.issn.0252-3116.2024.20.009

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