Characterizing the role of Weibo and WeChat in sharing original information in a crisis

Lifang Li, Hong Wen*, Qingpeng Zhang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

10 Citations (Scopus)

Abstract

Strategically differentiated managerial evidence of different social media platforms is of great importance to enhance crisis communication processes by balancing their strengths and weaknesses. This study aims to uncover the platform-specific situational information-sharing characteristics by differentiating the major types of information published in Weibo and WeChat during different phases of a crisis. The subject of the study is the Changsheng fake vaccine crisis which happened in China in 2018. Multiple supervised machine learning and topic modelling methods are used for the characterization of situational information types of the crisis during three phases in both platforms. Our study found that WeChat shares more situational information such as notifications, caution and advice, and criticizing information, whereas Weibo shares more emotional support and help-seeking information. This study provides social media analytics and empirical evidence of platform-specific situational information-sharing characteristics to aid authorities/researchers for better crisis communication and public emergency management.
Original languageEnglish
Pages (from-to)236-248
JournalJournal of Contingencies and Crisis Management
Volume31
Issue number2
Online published15 Sept 2022
DOIs
Publication statusPublished - Jun 2023

Research Keywords

  • multiple platforms crisis communication
  • social media
  • topic modelling and supervised learning
  • Weibo and WeChat

Fingerprint

Dive into the research topics of 'Characterizing the role of Weibo and WeChat in sharing original information in a crisis'. Together they form a unique fingerprint.

Cite this