Online spam-blog detection through blog search

Linhong Zhu, Aixin Sun, Byron Koon Kau Choi · 2008

In this work, we propose a novel post-indexing spam-blog (or splog) detection method, which capitalizes on the re-sults returned by blog search engines. More specifically, we analyze the search results of a sequence of temporally-ordered queries returned by a blog search engine, and build and maintain blog profiles for those blogs whose posts fre-quently appear in the top-ranked search results. With the blog profiles, 4 splog scoring functions were evaluated us-ing real data collected from a popular blog search engine. Our experiments show that the proposed method could ef-fectively detect splogs with a high accuracy.

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