Back to Search
Start Over
Detecting spam in a Twitter network.
- Source :
- First Monday; Jan2010, Vol. 15 Issue 1, p1-1, 1p
- Publication Year :
- 2010
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- SPAM email
MICROBLOGS
ONLINE social networks
INTERNET
Subjects
Details
- Language :
- English
- ISSN :
- 13960466
- Volume :
- 15
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- First Monday
- Publication Type :
- Academic Journal
- Accession number :
- 59526247