Statistical Analysis of Dispelling Rumors on Sina Weibo
Joint Authors
Xiong, Xi
Wu, Yue
Deng, Min
Wen, Xin
Wang, Min
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wu, Yue& Deng, Min& Wen, Xin& Wang, Min& Xiong, Xi. 2020. Statistical Analysis of Dispelling Rumors on Sina Weibo. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1141356
Modern Language Association (MLA)
Wu, Yue…[et al.]. Statistical Analysis of Dispelling Rumors on Sina Weibo. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1141356
American Medical Association (AMA)
Wu, Yue& Deng, Min& Wen, Xin& Wang, Min& Xiong, Xi. Statistical Analysis of Dispelling Rumors on Sina Weibo. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1141356
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141356