National Security and Social Media Monitoring: A Presentation of the EMOTIVE and Related Systems
National Security and Social Media Monitoring: A Presentation of the EMOTIVE and Related Systems
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DOI：
10.1109/eisic.2013.38
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发表时间：
2013-08
期刊：
影响因子：
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通讯作者：
M. Sykora;Thomas W. Jackson;A. O'Brien;Suzanne Elayan
中科院分区：
文献类型：
--
作者：
M. Sykora;Thomas W. Jackson;A. O'Brien;Suzanne Elayan
如今，Twitter等社交媒体流代表着海量的“实时”每日流媒体数据。这些信息流上的话题涵盖了人类交流的方方面面，从陈词滥调到对事件的严肃反应，以及关于任何可以想象到的产品、物品或实体的信息共享。现在，公众可见的事件首先在社交媒体上发布新闻，然后才是主流媒体报道新闻，这已经成为一种常态。文献表明，社交媒体是衡量公众对事件和实体的主观反应的有效、有价值和有效的实时工具。由于社交媒体上每天产生的海量大数据，监测和评估公众反应必须是自动化的，最重要的是可扩展-即人工、专家监测通常是不可行的。本文将介绍由国防科学与技术实验室(DSTL)和EPSRC联合资助的一个项目--情绪系统，该项目专注于监测与国家安全重要事件有关的细粒度情绪反应。还介绍了用于监控国家安全事件的类似系统，并介绍和讨论了此类国家安全社交媒体监控系统的主要特点。
Today social media streams, such as Twitter, represent vast amounts of 'real-time' daily streaming data. Topics on these streams cover every range of human communication, ranging from banal banter, to serious reactions to events and information sharing regarding any imaginable product, item or entity. It has now become the norm for publicly visible events to break news over social media streams first, and only then followed by main stream media picking up on the news. It has been suggested in literature that social-media are a valid, valuable and effective real-time tool for gauging public subjective reactions to events and entities. Due to the vast big-data that is generated on a daily basis on social media streams, monitoring and gauging public reactions has to be automated and most of all scalable - i.e. human, expert monitoring is generally unfeasible. In this paper the EMOTIVE system, a project funded jointly by the DSTL (Defence Science and Technology Laboratory) and EPSRC, which focuses on monitoring fine-grained emotional responses relating to events of national security importance, will be presented. Similar systems for monitoring national security events are also presented and the primary traits of such national security social media monitoring systems are introduced and discussed.