Statistical Analysis of Dispelling Rumors on Sina Weibo
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/3176593 |
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| _version_ | 1832550974506401792 |
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| author | Yue Wu Min Deng Xin Wen Min Wang Xi Xiong |
| author_facet | Yue Wu Min Deng Xin Wen Min Wang Xi Xiong |
| author_sort | Yue Wu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-59bae3c5b4f04f058fe78049438e417a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-59bae3c5b4f04f058fe78049438e417a2025-02-03T06:05:12ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/31765933176593Statistical Analysis of Dispelling Rumors on Sina WeiboYue Wu0Min Deng1Xin Wen2Min Wang3Xi Xiong4School of Computer and Software Engineering, Xihua University, Chengdu 610039, ChinaSchool of Computer and Software Engineering, Xihua University, Chengdu 610039, ChinaSchool of Computer and Software Engineering, Xihua University, Chengdu 610039, ChinaSchool of Computer and Software Engineering, Xihua University, Chengdu 610039, ChinaSchool of Cybersecurity, Chengdu University of Information Technology, Chengdu 610225, ChinaAnalyzing 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.http://dx.doi.org/10.1155/2020/3176593 |
| spellingShingle | Yue Wu Min Deng Xin Wen Min Wang Xi Xiong Statistical Analysis of Dispelling Rumors on Sina Weibo Complexity |
| title | Statistical Analysis of Dispelling Rumors on Sina Weibo |
| title_full | Statistical Analysis of Dispelling Rumors on Sina Weibo |
| title_fullStr | Statistical Analysis of Dispelling Rumors on Sina Weibo |
| title_full_unstemmed | Statistical Analysis of Dispelling Rumors on Sina Weibo |
| title_short | Statistical Analysis of Dispelling Rumors on Sina Weibo |
| title_sort | statistical analysis of dispelling rumors on sina weibo |
| url | http://dx.doi.org/10.1155/2020/3176593 |
| work_keys_str_mv | AT yuewu statisticalanalysisofdispellingrumorsonsinaweibo AT mindeng statisticalanalysisofdispellingrumorsonsinaweibo AT xinwen statisticalanalysisofdispellingrumorsonsinaweibo AT minwang statisticalanalysisofdispellingrumorsonsinaweibo AT xixiong statisticalanalysisofdispellingrumorsonsinaweibo |