Bieber no more : First Story Detection using Twitter and Wikipedia
Bieber no more : First Story Detection using Twitter and Wikipedia
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发表时间：
2012
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通讯作者：
M. Osborne;S. Petrovic;R. McCreadie;Craig Macdonald;I. Ounis;S. Petrovic
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作者：
M. Osborne;S. Petrovic;R. McCreadie;Craig Macdonald;I. Ounis;S. Petrovic
Twitter 是众所周知的突发新闻信息来源。 Twitter 的这一特性使其非常适合在事件发生时进行识别。然而，Twitter 驱动的事件检测方法的一个关键问题是它们会产生许多虚假事件，即错误检测到的事件或任何人都不感兴趣的事件。在本文中，我们研究了维基百科（当被视为页面浏览流时）是否可用于提高 Twitter 中发现事件的质量。我们的结果表明维基百科是一种强大的过滤机制，可以轻松阻止大量虚假事件。我们的结果还表明，维基百科内的事件往往落后于 Twitter。
Twitter is a well known source of information regarding breaking news stories. This aspect of Twitter makes it ideal for identifying events as they happen. However, a key problem with Twitter-driven event detection approaches is that they produce many spurious events, i.e., events that are wrongly detected or simply are of no interest to anyone. In this paper, we examine whether Wikipedia (when viewed as a stream of page views) can be used to improve the quality of discovered events in Twitter. Our results suggest that Wikipedia is a powerful filtering mechanism, allowing for easy blocking of large numbers of spurious events. Our results also indicate that events within Wikipedia tend to lag behind Twitter.