Review spam detection

It is now a common practice for e-commerce Web sites to enable their customers to write reviews of products that they have purchased. Such reviews provide valuable sources of information on these products. They are used by potential customers to find opinions of existing users before deciding to purchase a product. They are also used by product manufacturers to identify problems of their products and to find competitive intelligence information about their competitors. Unfortunately, this importance of reviews also gives good incentive for spam, which contains false positive or malicious negative opinions. In this paper, we make an attempt to study review spam and spam detection. To the best of our knowledge, there is still no reported study on this problem. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval ? Information filtering. General Terms: Experimentation, Algorithms.

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Nitin Jindal, Bing Liu
• Keywords: Competitive Intelligence Information, Internet Technology, Malicious Negative Opinions, Spam Detection, WWW 2007