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Exploring Integrated Models in Social Networks: Implications for Information Propagation and Misinformation Management
- 1 School of Information Science and Technology, Beijing Forestry University, Beijing, China
* Author to whom correspondence should be addressed.
Abstract
Disinformation has become a major challenge in the digital age, with significant consequences for public opinion, social cohesion, and the democratic process. This paper aims to explore the mechanisms of misinformation propagation within social networks, focusing on the role of key influencers, platform accountability, and policy interventions. By examining previous literature, this research seeks to identify strategies that influence the spread of misinformation. The research examines theoretical models such as the Attraction-Introduction Model to understand the dynamics of misinformation spread and the influence of key individuals in either amplifying or suppressing its dissemination. The study highlights that individuals with high network centrality, such as influencers, play a pivotal role in spreading and containing false information. Social media platforms are found to bear significant responsibility for managing information flow, primarily through algorithmic design and content moderation. Policy interventions, including regulation and public education, are necessary, but their impact is limited without international cooperation and platform transparency. The study requires a comprehensive approach to counter misinformation. Social media platforms must strengthen their accountability, algorithms must be reconfigured to prioritize accuracy over engagement, and governments should implement legislative and educational strategies. Collaboration between platforms, policymakers, and the public is critical for creating more resilient and credible social networks.
Keywords
Social network, Information Dissemination, Misinformation, Diffusion Models
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Cite this article
Wang,H. (2025). Exploring Integrated Models in Social Networks: Implications for Information Propagation and Misinformation Management. Applied and Computational Engineering,133,24-32.
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