大家都知道什么?从社交媒体中识别特定事件的来源

Debanjan Mahata, Nitin Agarwal
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引用次数: 15

摘要

社交媒体正日益成为公众表达意见并将其呈现给网络上大量受众的流行平台。2011年见证了社交媒体在各种事件的兴起和传播中发挥最大作用的一年,并被正确地定义为“社交媒体民主”之年,“抗议者”被评为《时代》杂志2011年度人物。由于互联网的幂律分布,社交媒体网站极有可能被埋在长尾中。因此,从长尾中识别高质量的社交媒体资源对于深入理解和探索现实生活中的事件至关重要。在这项工作中,我们提出了一个框架来区分来自社交媒体的不同来源,这些来源提供了关于各种事件的极其重要的信息。具体来说,我们提出了信息理论方法来识别事件的“特定”来源(通常隐藏在长尾中)和事件的“更接近”实体(个人、团体、组织、地点等)。我们还介绍了一种新的评估策略来验证所提出的措施。该研究的数据是从各种博客平台收集的。实验证明了有希望的结果和有趣的发现。
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What does everybody know? Identifying event-specific sources from social media
Social media is increasingly becoming a popular platform for the public to voice their opinion and present them to a huge audience in the web. The year 2011 saw one of the greatest use of social media in the rise and spread of various events, and has been rightly defined as the year of “Social Media Democracy”, with “The Protester” being named as the TIME magazine's person of the year 2011. Due to the power law distribution of the Internet, it is highly likely that the social media sites are buried in the Long Tail. It is therefore, of utmost importance to identify quality social media sources from the Long Tail, for understanding and exploring the real-life events in depth. In this work, we propose a framework to distinguish the disparate sources from social media that provide extremely significant information about various events. Specifically, we propose information theoretic measures to identify “specific” sources for an event (often buried in the Long Tail) and “closer” entities (individuals, groups, organizations, places, etc.) for an event. We also introduce a novel evaluation strategy for validating the proposed measures. Data for the research is collected from various blogging platforms. Experiments demonstrate promising results with interesting findings.
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