Statistical Analysis of Dispelling Rumors on Sina Weibo

被引：7

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 / 2020期

基金：

中国国家自然科学基金; 中国博士后科学基金;

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

共 50 条

[31] Analyzing the Influential People in Sina Weibo Dataset
Liao, Qing
Wang, Wei
Han, Yi
Zhang, Qian
[J]. 2013 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2013, : 3066 - 3071
[32] Characterizing Eating Disorder Issues on Sina Weibo
Tang, Jingyun
Yu, Guang
Wang, Zheng
Yao, Xiaoxu
[J]. FUZZY SYSTEMS AND DATA MINING VI, 2020, 331 : 722 - 731
[33] Predicting Information Popularity: A Study of Sina Weibo
Lin, Jilei
Huang, Yipei
Gao, Ying
Chen, Rongjuan
[J]. PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION SYSTEMS (ICCIS 2017), 2015, : 335 - 339
[34] Observation of Matthew Effects in Sina Weibo Microblogger
Yang, Mengmeng
Zhou, Yi
Zhou, Qu
Chen, Kai
He, Jianhua
Yang, Xiaokang
[J]. 2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013,
[35] Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo
Li, Ang
Jiao, Dongdong
Zhu, Tingshao
[J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2022, 24 (04)
[36] Social Network Analysis on Sina Weibo Based on K-Means Algorithm
Yang, Xu
Wang, Yapeng
Qiao, Wenxin
[J]. PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA 2016), 2016, : 127 - 132
[37] A Study of Age Distribution Inference in Sina Weibo
Lu, Xun
Xia, Zhengyou
[J]. 2016 FOURTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD 2016), 2016, : 63 - 67
[38] Sina Weibo Mood Predicting the Economics Trends
Pan, Fan
Li, Hui
[J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE, EDUCATION MANAGEMENT AND SPORTS EDUCATION, 2015, 39 : 431 - 434
[39] Mining A Government Affairs Microblog Network on Sina Weibo with Social Network Analysis
Rong, Yihong
Song, Jia
[J]. 2013 10TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2013, : 515 - 519
[40] Gratifications for using social media: A comparative analysis of Sina Weibo and WeChat in China
Gan, Chunmei
[J]. INFORMATION DEVELOPMENT, 2018, 34 (02) : 139 - 147

← 1 2 3 4 5 →