Multi-Agent Collaborative Rumor-Debunking Strategies on Virtual-Real Network Layer

Xiaojing Zhong, Yawen Zheng, Junxian Xie, Ying Xie () and Yuqing Peng ()
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Xiaojing Zhong: School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
Yawen Zheng: School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
Junxian Xie: School of Culture and Creativity, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai 519000, China
Ying Xie: School of Public Administraion, Guangzhou University, Guangzhou 510006, China
Yuqing Peng: School of Journalism and Communication, Guangzhou University, Guangzhou 510006, China

Mathematics, 2024, vol. 12, issue 3, 1-22

Abstract: In the era of self-media, the spontaneity and anonymity of information dissemination have led to a surge in rumors, posing significant challenges to cybersecurity. This paper introduces a novel dual-layer V R − S H I 1 I 2 R rumor control model for studying collaborative rumor-debunking efforts. Utilizing mathematical modeling and simulation methods, we propose key thresholds for rumor propagation from both theoretical and simulation perspectives, and explore optimal methods for rumor control. Our model is validated with real data from actual cases, confirming its accuracy and the effectiveness. The study shows that without intervention, rumors will spread rapidly. Both constant and dynamically optimized control significantly slow down the spread of rumors. However, dynamic optimization control significantly reduces control costs compared to fixed control schemes. Moreover, we find that controlling only the media layer is insufficient. These findings highlight the importance of meticulous approaches to rumor control in the digital age.

Keywords: collaborative debunking strategy; public refutation; information distortion; propagation efficacy; optimal control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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