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

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...

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Published in:arXiv.org 2024-02
Main Authors: Ma, Mingyu Derek, Taylor, Alexander K, Wen, Nuan, Liu, Yanchen, Kung, Po-Nien, Qin, Wenna, Wen, Shicheng, Zhou, Azure, Yang, Diyi, Ma, Xuezhe, Peng, Nanyun, Wang, Wei
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Flow distribution
Information dissemination
Information flow
Interactive systems
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creator Ma, Mingyu Derek
Taylor, Alexander K
Wen, Nuan
Liu, Yanchen
Kung, Po-Nien
Qin, Wenna
Wen, Shicheng
Zhou, Azure
Yang, Diyi
Ma, Xuezhe
Peng, Nanyun
Wang, Wei
description 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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source Publicly Available Content Database; Coronavirus Research Database
subjects Flow distribution
Information dissemination
Information flow
Interactive systems
title MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
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