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.

翻译：我们提出MIDDAG——一个直观的交互式系统，通过可视化社交媒体上由COVID-19相关新闻文章引发的信息传播路径，并辅以全面的洞察分析，包括用户/社区的易感性水平，以及信息传播过程中公众引发的事件和热门观点。除了发现用户间的信息流模式外，我们还构建用户社区并开发传播预测能力，从而能够从更高层面追溯并理解信息的传播机制。