Current research concentrates on studying discussions on social media related to structural failures to improve disaster response strategies. However, detecting social web posts discussing concerns about anticipatory failures is under-explored. If such concerns are channeled to the appropriate authorities, it can aid in the prevention and mitigation of potential infrastructural failures. In this paper, we develop an infrastructure ombudsman -- that automatically detects specific infrastructure concerns. Our work considers several recent structural failures in the US. We present a first-of-its-kind dataset of 2,662 social web instances for this novel task mined from Reddit and YouTube.

翻译：当前研究主要集中于分析社交媒体上与结构失效相关的讨论，以改进灾害响应策略。然而，检测社交网络中关于预判性故障隐患的讨论仍是一个未充分探索的领域。若能将此类隐患信息有效传达至相关主管部门，将有助于预防和减缓潜在的基础设施故障。本文开发了一种基础设施监察机制——能够自动识别特定基础设施的故障隐患。本研究以美国近期发生的多起结构失效事件为案例，首次构建了包含2,662条从Reddit和YouTube平台挖掘的社交网络实例数据集，用于这项全新研究任务。