#Earthquake: Twitter as a Distributed Sensor System
#Earthquake: Twitter as a Distributed Sensor System
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DOI：
10.1111/j.1467-9671.2012.01359.x
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发表时间：
2013-02-01
影响因子：
2.4
通讯作者：
Radzikowski, Jacek
中科院分区：
文献类型：
--
作者：
Crooks, Andrew;Croitoru, Arie;Radzikowski, Jacek
社交媒体正在迅速成为一种新的渠道，用于贡献和传播通常是地理信息。它们的内容往往包括在特定地点发生或影响特定地点的事件。在这篇文章中，我们分析了响应于2011年8月23日发生在美国东海岸（US）的5.8级地震的Twitter Feed活动的时空特征。我们认为，这些饲料代表了一种混合形式的传感器系统，允许识别和定位的影响区域的事件。通过将其与通过专门的众包收集的可比内容进行对比，你感觉到了吗？“（DYFI）美国地质调查局网站，我们评估了使用收集的社交媒体内容进行事件监测的潜力。这些实验支持了这样一种观点，即人作为传感器，可以及时为我们提供可比的结果，并可以补充其他数据来源，以增强我们的态势感知，改善我们对此类事件的理解和反应。
Social media feeds are rapidly emerging as a novel avenue for the contribution and dissemination of information that is often geographic. Their content often includes references to events occurring at, or affecting specific locations. Within this article we analyze the spatial and temporal characteristics of the twitter feed activity responding to a 5.8 magnitude earthquake which occurred on the East Coast of the United States (US) on August 23, 2011. We argue that these feeds represent a hybrid form of a sensor system that allows for the identification and localization of the impact area of the event. By contrasting this with comparable content collected through the dedicated crowdsourcing Did You Feel It?' (DYFI) website of the U.S. Geological Survey we assess the potential of the use of harvested social media content for event monitoring. The experiments support the notion that people act as sensors to give us comparable results in a timely manner, and can complement other sources of data to enhance our situational awareness and improve our understanding and response to such events.