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• W2140355323 abstract "Real-time micro-blogging services such as Twitter are widely recognized for their social dynamics--how they both encapsulate a social graph and propagate information across it. However, the content of this information is equally interesting since it frequently reflects individual experiences with a broad variety of real-time events. Indeed, events of broad interest are commonly revealed in correlated spikes of semantically-related posting activity. In this paper, we explore one such application this of phenomenon: using Twitter data to infer on-line Internet service availability. We show that simple techniques are sufficient to extract key semantic content from tweets (i.e., service X is down) and also filter out extraneous noise. We demonstrate the efficacy of this approach at identifying a range of large-scale service outages in 2009 for popular services such as Gmail, Bing and PayPal." @default.
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• W2140355323 date "2010-06-22" @default.
• W2140355323 modified "2023-09-25" @default.
• W2140355323 title "Measuring online service availability using twitter" @default.
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