National Security and Social Media Monitoring: A Presentation of the EMOTIVE and Related Systems

M. Sykora, Thomas W. Jackson, A. O'Brien, Suzanne Elayan
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引用次数: 19

Abstract

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.
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国家安全和社会媒体监测:EMOTIVE和相关系统的介绍
今天,社交媒体流,如Twitter,代表了大量的“实时”每日流数据。这些信息流上的话题涵盖了人类交流的各个方面,从陈腐的玩笑到对事件的严肃反应,以及关于任何可以想象到的产品、项目或实体的信息共享。现在,公开可见的事件首先在社交媒体上发布新闻,然后主流媒体才会报道这条新闻,这已经成为一种常态。有文献表明,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。由于每天在社交媒体流上产生大量的大数据,监测和衡量公众反应必须是自动化的,而且最重要的是可扩展的——也就是说,人工、专家监测通常是不可行的。EMOTIVE系统是由国防科学技术实验室(DSTL)和EPSRC联合资助的一个项目,该项目专注于监测与国家安全重要事件相关的细粒度情绪反应。本文还介绍了类似的国家安全事件监控系统,并对此类国家安全社交媒体监控系统的主要特点进行了介绍和讨论。
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