Spam becomes a problem as soon as an online communication medium becomes popular. Twitter’s behavioral and structural properties make it a fertile breeding ground for spammers to proliferate. In this article we examine spam around a one–time Twitter meme — “robotpickuplines”. We show the existence of structural network differences between spam accounts and legitimate users. We conclude by highlighting challenges in disambiguating spammers from legitimate users.
Article en annexe au format PDF
“Detecting spam in a Twitter network” by Sarita Yardi, Daniel Romero, Grant Schoenebeck, and Danah Boyd is licensed under a Creative Commons Attribution–Noncommercial–Share Alike 3.0 United States License.
2 réactions
1 De Arnaud - 10/01/2010, 15:34
Je trouve pas l'article
2 De habana - 10/01/2010, 22:47
Le lien "annexes" est en bas de page:
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