6 search results - page 1 / 2 » Uncovering social spammers: social honeypots machine learn... |
SIGIR
2010
ACM
13 years 8 months ago
2010
ACM
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
WWW
2010
ACM
13 years 11 months ago
2010
ACM
We present the conceptual framework of the Social Honeypot Project for uncovering social spammers who target online communities and initial empirical results from Twitter and MySp...
AIRWEB
2009
Springer
13 years 11 months ago
2009
Springer
The popularity of social bookmarking sites has made them prime targets for spammers. Many of these systems require an administrator’s time and energy to manually filter or remo...
DBSEC
2010
13 years 5 months ago
2010
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
AIRWEB
2008
Springer
13 years 6 months ago
2008
Springer
The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spam...