Statistical Analysis of Dispelling Rumors on Sina Weibo
Complexity
; 2020, 2020.
Article
| Web of Science | ID: covidwho-788239
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.
Full text:
Available
Collection:
Databases of international organizations
Database:
Web of Science
Journal:
Complexity
Year:
2020
Document Type:
Article
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