Twitter is a well known source of information regarding
breaking news stories. This aspect of Twitter makes it idealfor 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.
Miles Osborne and Saša Petrovic, Richard McCreadie, Craig Macdonald, and Iadh Ounis
Bieber no more: First Story Detection using Twitter and Wikipedia
In Proceedings of TAIA 2012 at SIGIR 2012
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