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Detecting splogs via temporal dynamics using self-similarity analysis
2008
ACM Transactions on the Web
This article addresses the problem of spam blog (splog) detection using temporal and structural regularity of content, post time and links. Splogs are undesirable blogs meant to attract search engine traffic, used solely for promoting affiliate sites. Blogs represent popular online media, and splogs not only degrade the quality of search engine results, but also waste network resources. The splog detection problem is made difficult due to the lack of stable content descriptors. We have
doi:10.1145/1326561.1326565
fatcat:tyh5objdjvdinni3l5ansuxcwu