Detecting Comment Spam through Content Analysis

In the Web 2.0 eras, the individual Internet users can also act as information providers, releasing information or making comments conveniently. However, some participants may spread irresponsible remarks or express irrelevant comments for commercial interests. This kind of socalled comment spam severely hurts the information quality. This paper tries to automatically detect comment spam through content analysis, using some previously-undescribed features. Experiments on a real data set show that our combined heuristics can correctly identify comment

• Type: Journal
• Year: 2010
• Where: WAIM
• Authors: Congrui Huang, Qiancheng Jiang, Yan Zhang
• Keywords: Comment Spam, Information Technology, Socalled Comment Spam, WAIM 2010, Web 2.0 Eras