http://dx.doi.org/10.1145/1458082.1458272">
 

Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Online spam-blog detection through blog search

Language

English

Abstract

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.

Keywords

Experimentation

Publication Date

2008

Source Publication Title

Proceedings of the 17th ACM conference on Information and knowledge management

Start Page

1347

End Page

1348

Conference Location

Napa, United States

Publisher

ACM

ISBN (print)

9781595939913

This document is currently not available here.

Share

COinS