Statistical Analysis of Dispelling Rumors on Sina Weibo. (19th August 2020)

• Record Type: Journal Article
• Authors: Wu, Yue; Deng, Min; Wen, Xin; Wang, Min; Xiong, Xi
• Other Names: Wang Liang Guest Editor.
• Is Part Of: Complexity. Volume 2020(2020)
• Publication Date: 2020-08-19
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2020/3176593
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : Analyzing the process and results of dispelling rumors is a prerequisite for designing an effective anti-rumor strategy. Current research on this subject focuses on the simulation experiments, short of empirical study. By using the False Information Publicity Results of Sina Weibo as the data source of empirical research, this article compares the typical features of rumor and anti-rumor accounts. Furthermore, taking COVID-19 as the target topic, distributions of the reported time, frequency, platform penalty levels, and diffusion parameters of rumors related to COVID-19 are given, and some interesting results are obtained.