系统管理学报2025，Vol.34Issue(5)：1342-1354,13.DOI:10.3969/j.issn2097-4558.2025.05.012
基于社交媒体用户数据的突发事件舆情网络结构与谣言治理
Public Opinion Network Structure and Rumor Management in Emergencies Based on Social Media User Data
摘要
Abstract
Social media attracts various users and becomes the core medium for the dissemination of public opinion during emergency events,yet it also tends to be a breeding ground for rumors,posing challenges to emergency management.This paper,utilizing the social network analysis(SNA)methods on data from social media users concerning the"6.2 magnitude earthquake in Jishishan,Gansu"and the"subway accident in Changping Line,Beijing"reveals the structural characteristics of public opinion networks in these two types of emergency events and identifies key users influencing information dissemination.Further,it expands the SHIR model to assess the effectiveness of official clarification mechanisms and platform regulation in different network settings for rumor management.The findings show that in the network in Gansu,user interactions focus on the transmission of information related to disaster safety and supplies while in the network in Beijing,interactions revolve around discussions of the causes and responsibilities of the accident.Both events exhibit potential hotspots for rumors.Simulations show that official clarifications and platform regulations can reduce the negative impacts of rumors,although their effectiveness varies by event type.Additionally,when key users act as"rumor clarifiers"in collaboration with officials,the effectiveness of official clarifications is enhanced.Conversely,when they act as"rumor spreaders",the negative impacts of rumors intensify,necessitating stronger platform management.Therefore,it is suggested that an"Official-Platform-Key User"collaborative governance model should be established,tailored to the specific characteristics of different types of emergency events,to foster a healthy online information ecosystem.关键词
突发事件/舆情特征/谣言治理/SHIR模型Key words
emergency/public opinion characteristics/rumor management/SHIR model分类
管理科学引用本文复制引用
WANG Xihui,LIN Jiawen,WANG Xiang..基于社交媒体用户数据的突发事件舆情网络结构与谣言治理[J].系统管理学报,2025,34(5):1342-1354,13.基金项目
湖南省自然科学基金杰出青年项目(2024JJ2005) （2024JJ2005）
湖南省社会科学基金资助项目(23YBA097) （23YBA097）
长沙市自然科学基金资助项目(kq2402032) （kq2402032）
