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Splog Detection using Content, Time and Link Structures
2007
Multimedia and Expo, 2007 IEEE International Conference on
This paper focuses on spam blog (splog) detection. Blogs are highly popular, new media social communication mechanisms and splogs corrupt blog search results as well as waste network resources. In our approach we exploit unique blog temporal dynamics to detect splogs. The key idea is that splogs exhibit high temporal regularity in content and post time, as well as consistent linking patterns. Temporal content regularity is detected using a novel autocorrelation of post content. Temporal
doi:10.1109/icme.2007.4285079
dblp:conf/icmcs/LinSCTT07
fatcat:oul5q7j6ovdydiatkodx42kqmq