Risk assessment and governance path of social media rumors based on GRA and FsQCA

IF 3 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE International Journal of Management Science and Engineering Management Pub Date : 2023-09-23 DOI:10.1080/17509653.2023.2253187

Lina Huang

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引用次数: 0

Abstract

ABSTRACTThe research on the risk assessment and governance path of social media rumors is of great significance to build a harmonious network environment. This study constructs a risk assessment indicator system of social media rumors based on information ecology theory and uses entropy weight method (EWM) to calculate the weight of risk indicators. Taking data set of Sina Weibo cases as an example, this study uses grey relational analysis (GRA) to construct a risk grading model of social media rumors. Based on the hierarchical data set, this study uses fuzzy-set qualitative comparative analysis (fsQCA) to further explore the formation path of high-risk rumors. Five configuration paths are obtained and governance methods of social media rumors for the government and social media platforms are proposed.KEYWORDS: Social media rumorsrisk grading modelgovernance pathgrey relational analysis (GRA)fuzzy-set qualitative comparative analysis (fsQCA)JEL CLASSIFICATION: D01D83P16 Disclosure statementNo potential conflict of interest was reported by the author(s).

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基于GRA和FsQCA的社交媒体谣言风险评估及治理路径

摘要研究社交媒体谣言的风险评估与治理路径，对构建和谐的网络环境具有重要意义。本研究基于信息生态学理论构建了社交媒体谣言的风险评价指标体系，并采用熵权法(EWM)计算风险指标的权重。本研究以新浪微博案例数据集为例，运用灰色关联分析(GRA)构建社交媒体谣言风险分级模型。本研究在分层数据集的基础上，采用模糊集定性比较分析(fsQCA)进一步探索高风险谣言的形成路径。得到了五条配置路径，并提出了政府和社交媒体平台对社交媒体谣言的治理方法。关键词:社交媒体谣言风险分级模型治理路径灰色关联分析(GRA)模糊集定性比较分析(fsQCA)JEL分类:D01D83P16披露声明作者未报告潜在利益冲突。

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来源期刊

International Journal of Management Science and Engineering Management OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

8.50

自引率

33.30%

发文量

期刊介绍： International Journal of Management Science and Engineering Management (IJMSEM) is a peer-reviewed quarterly journal that provides an international forum for researchers and practitioners of management science and engineering management. The journal focuses on identifying problems in the field, and using innovative management theories and new management methods to provide solutions. IJMSEM is committed to providing a platform for researchers and practitioners of management science and engineering management to share experiences and communicate ideas. Articles published in IJMSEM contain fresh information and approaches. They provide key information that will contribute to new scientific inquiries and improve competency, efficiency, and productivity in the field. IJMSEM focuses on the following: 1. identifying Management Science problems in engineering; 2. using management theory and methods to solve above problems innovatively and effectively; 3. developing new management theory and method to the newly emerged management issues in engineering; IJMSEM prefers papers with practical background, clear problem description, understandable physical and mathematical model, physical model with practical significance and theoretical framework, operable algorithm and successful practical applications. IJMSEM also takes into account management papers of original contributions in one or several aspects of these elements.