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Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey
ACM Computing Surveys ( IF 16.6 ) Pub Date : 2022-11-21 , DOI: 10.1145/3524498
Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read

The rise of social media platforms provides an unbounded, infinitely rich source of aggregate knowledge of the world around us, both historic and real-time, from a human perspective. The greatest challenge we face is how to process and understand this raw and unstructured data, go beyond individual observations and see the “big picture”—the domain of Situation Awareness. We provide an extensive survey of Artificial Intelligence research, focusing on microblog social media data with applications to Situation Awareness, that gives the seminal work and state-of-the-art approaches across six thematic areas: Crime, Disasters, Finance, Physical Environment, Politics, and Health and Population. We provide a novel, unified methodological perspective, identify key results and challenges, and present ongoing research directions.



中文翻译:

使用人工智能从微博中增强社会态势感知:一项调查

从人类的角度来看,社交媒体平台的兴起为我们周围的世界提供了一个无限的、无限丰富的聚合知识来源,包括历史的和实时的。我们面临的最大挑战是如何处理和理解这些原始和非结构化数据,超越个人观察并看到“大局”——态势感知领域。我们对人工智能研究进行了广泛的调查,重点关注微博社交媒体数据及其对态势感知的应用,提供了六个主题领域的开创性工作和最先进的方法:犯罪灾难金融物理环境政治,卫生和人口. 我们提供了一个新颖、统一的方法论视角,确定了关键结果和挑战,并提出了正在进行的研究方向。

更新日期:2022-11-21
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