Department of Computer Science
Online spam-blog detection through blog search
In this work, we propose a novel post-indexing spam-blog (or splog) detection method, which capitalizes on the results returned by blog search engines. More specifically, we analyze the search results of a sequence of temporallyordered queries returned by a blog search engine, and build and maintain blog profiles for those blogs whose posts frequently appear in the top-ranked search results. With the blog profiles, 4 splog scoring functions were evaluated using real data collected from a popular blog search engine. Our experiments show that the proposed method could effectively detect splogs with a high accuracy.
Source Publication Title
Proceedings of the 17th ACM conference on Information and knowledge management
Napa, United States
Link to Publisher's Edition
Zhu, Linhong, Aixin Sun, and Byron Choi. "Online spam-blog detection through blog search." Proceedings of the 17th ACM conference on Information and knowledge management (2008): 1347-1348.