Using Topological Analysis to Investigate True and False Information Diffusion

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Amin Riazi, Yingfeng Wang

Published: 2022, Last Modified: 09 Jan 2026CSCI 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Social media provides an online platform for users to spread information including true and false stories. Both human users and social bots play critical roles in diffusing true and false information. This study investigates the user behavior patterns in Twitter information diffusion by analyzing the topological properties of retweet networks. Our results show humans and bots have different behavior patterns in true and false information diffusion. Our finding suggests the roles of human and bot users in spreading true and false stories are worth further investigation.