图书情报工作 ›› 2021, Vol. 65 ›› Issue (19): 26-35.DOI: 10.13266/j.issn.0252-3116.2021.19.003

所属专题: 突发公共卫生事件中网络谣言治理及个人信息保护研究

• 专题:突发公共卫生事件中网络谣言治理及个人信息保护研究 • 上一篇    下一篇

突发公共卫生事件网络谣言辟谣效果影响因素研究——以新冠疫情期间网络谣言为例

王晰巍1,2,3, 邱程程1,2,3, 贾若男1,2,3   

  1. 1 吉林大学管理学院 长春 130022;
    2 吉林大学大数据管理研究中心 长春 130022;
    3 吉林大学网络空间治理研究中心 长春 130022
  • 收稿日期:2021-04-12 修回日期:2021-07-05 出版日期:2021-10-05 发布日期:2021-10-09
  • 作者简介:王晰巍(ORCID:0000-0002-5850-0126),教授,博士生导师,E-mail:wxw_mail@163.com;邱程程(ORCID:0000-0002-0671-0340),硕士研究生;贾若男(ORCID:0000-0002-4262-7982),博士研究生。
  • 基金资助:
    本文系国家社会科学基金重大项目"大数据驱动的社交网络舆情主题图谱构建及调控策略研究"(项目编号:18ZDA310)研究成果之一。

A Study on the Factors Influencing Online Rumor Refutation Effectiveness in Public Health Emergencies——A Case Study of Online Rumors During the COVID-19

Wang Xiwei1,2,3, Qiu Chengcheng1,2,3, Jia Ruonan1,2,3   

  1. 1 School of Management, Jilin University, Changchun 130022;
    2 Research Center for Big Data Management, Jilin University, Changchun 130022;
    3 Research Center of Cyberspace Governance, Jilin University, Changchun 130022
  • Received:2021-04-12 Revised:2021-07-05 Online:2021-10-05 Published:2021-10-09

摘要: [目的/意义] 网络谣言在突发公共卫生事件爆发期间,产生严重负面影响并扰乱社会秩序。结合新冠肺炎疫情对突发公共卫生事件网络辟谣效果影响因素进行分析,为突发公共卫生事件期间网络辟谣效果提供决策参考,从而有效规避网络谣言带来的社会风险。[方法/过程] 采用扎根理论,对突发公共卫生事件中的辟谣效果影响因素进行探究,得到22项初始概念、12项范畴、6项主范畴,并在此基础上利用解释结构模型和MATLAB矩阵分析各项影响因素间的作用关系。[结果/结论] 基于编码结果将辟谣效果影响因素归纳整合为主体、信息和渠道3个维度,且以此构建辟谣效果影响因素SIC模型分析框架,分析各项主范畴对于辟谣效果的作用路径,构建辟谣效果影响因素的层级结构模型,将影响因素划分为基础层、调节层和作用层。

关键词: 突发公共卫生事件, 网络谣言, 辟谣效果, 影响因素

Abstract: [Purpose/significance] During public health emergencies, online rumors have serious negative effects and disturb social order. This paper takes the rumors during the COVID-19 as an example to explore the factors that influence the rumor refutation effectiveness, and provide references for rumor refutation in the face of public health emergencies, so as to improve the rumor refutation effectiveness and avoid social risks.[Method/process] In order to explore the factors influencing rumor refutation effectiveness in public health emergencies, this paper adopted the grounded theory, used NVivo 12.0 software to code. In the end, 22 initial concepts, 12 categories and 6 main categories were obtained. On this basis, the interpreting structural model method and MATLAB were used to analyze the relationship between various influencing factors.[Result/conclusion] In this study, based on the coding results, the influential factors of rumor refutation effectiveness are summarized and integrated into three layers, namely subject, information and channel. According to these influential factors, the SIC model analysis framework of the influential factors of rumor refutation effectiveness is constructed to analyze the relationship between the main categories and rumor refutation effectiveness, and the hierarchical structure model of influencing factors of rumor refutation effectiveness is constructed.

Key words: public health emergency, online rumor, rumor refutation effectiveness, influential factor

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