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MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways

2023/10/04 by Mingyu Derek Ma, Ma, Mingyu Derek, Alexander K. Taylor +21
Physics and Astronomy · Social Sciences · #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Misinformation and Its Impacts #Social Media and Politics #Social and Information Networks (cs.SI)

paper · pdf · doi:10.48550/arxiv.2310.02529

openalex publication_date 2023/10/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We present MIDDAG, an intuitive, interactive system that visualizes the information propagation paths on social media triggered by COVID-19-related news articles accompanied by comprehensive insights, including user/community susceptibility level, as well as events and popular opinions raised by the crowd while propagating the information. Besides discovering information flow patterns among users, we construct communities among users and develop the propagation forecasting capability, enabling tracing and understanding of how information is disseminated at a higher level.

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