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, L., Sun, A., & Choi, B. (2008). Online spam-blog detection through blog search. Proceedings of the 17th ACM conference on Information and knowledge management, 1347-1348. https://doi.org/10.1145/1458082.1458272