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Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry KONSTANTIN BAUMAN, ALEXANDER TUZHILIN, and RYAN ZACZYNSKI, Stern School of Business, New York University This article presents a novel approach to detecting emergency events, such as power outages, that utilizes social media users as "social sensors" for virtual detection of such events. The proposed new method is based on the analysis of the Twitter data that leads to the detection of Twitter discussions about these emergency events. The method described in the article was implemented and deployed by one of the vendors in the context of detecting power outages as a part of their comprehensive social engagement platform. It was also field tested on Twitter users in an industrial setting and performed well during these tests. CCS Concepts: Information systems Data mining; Web and social media search; Sensor networks; r r Networks Additional Key Words and Phrases: Social media, tweets, event detection, power outages, social sensors ACM Reference Format: Konstantin Bauman, Alexander Tuzhilin, and Ryan Zaczynski. 2017. Using social sensors for detecting emergency events: A case of power outages in the electrical utility industry. ACM Trans. Manage. Inf. Syst. 8, 23,
ACM Transactions on Management Information Systems (TMIS) – Association for Computing Machinery
Published: Jun 16, 2017
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