Research on Collaborative Governance Strategies for Social Network Rumors in Sudden Events Driven by Big Data

• Published in: IEEE International Symposium on IT in Medicine and Education pp. 161 - 165
• Main Authors: Feng, Wenjian, Zhao, Yilin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13.09.2024
• Subjects: Big Data; Collaboration; Collaborative linkage; Couplings; Force; Government; Information technology; Internet; Rumor management; Social networking (online); Social networks; Stability analysis; Statistical analysis; Sudden events
• ISSN: 2474-3828
• DOI: 10.1109/ITME63426.2024.00042

With the development of social networks, the spread of rumors in emergencies poses a serious threat to social stability. This paper mainly studies the collaborative governance path of social network rumors in sudden events driven by big data. Select the typical online rumor cases published by "China Netcom" in the past five years, use big data crawler technology to obtain data sets, use social network analysis method to conduct quantitative analysis, and investigate the collaborative governance network structure of social network rumors in emergencies through multiple indicators. It is found that the network structure is loose, the interaction between main nodes is weak, the coupling of name rumor rejection users in information collection and distribution is not high, and the governance subject cannot form a joint force. The governance of sudden social network rumors needs to be led by the government, with the active participation and cooperation of media,Internet users and Internet organizations, forming a multiple collaborative linkage mechanism for rumor governance, which gathers joint forces, enriching the theory of rumor governance and improving the efficiency of rumor governance.