Statistical Analysis of Dispelling Rumors on Sina Weibo

被引：8

作者：

Wu, Yue ^{[1
]}

Deng, Min ^{[1
]}

Wen, Xin ^{[1
]}

Wang, Min ^{[1
]}

Xiong, Xi ^{[2
]}

机构：

[1] Xihua Univ, Sch Comp & Software Engn, Chengdu 610039, Peoples R China

[2] Chengdu Univ Informat Technol, Sch Cybersecur, Chengdu 610225, Peoples R China

来源：

COMPLEXITY | 2020年 / 2020卷

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

PROPAGATION; MODEL;

D O I：

10.1155/2020/3176593

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页数：11

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