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We present MIDDAG, an intuitive, interactive system that visualizes theinformation propagation paths on social media triggered by COVID-19-relatednews articles accompanied by comprehensive insights including user/communitysusceptibility level, as well as events and popular opinions raised by thecrowd while propagating the information. Besides discovering information flowpatterns among users, we construct communities among users and develop thepropagation forecasting capability, enabling tracing and understanding of howinformation is disseminated at a higher level.

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