Research Article
Detecting Review Spam: Challenges and Opportunities
@INPROCEEDINGS{10.4108/icst.collaboratecom.2012.250640, author={Yingying Ma and Fengjun Li}, title={Detecting Review Spam: Challenges and Opportunities}, proceedings={The 2nd International Workshop on Collaborative Communities for Social Computing}, publisher={IEEE}, proceedings_a={CCSOCIALCOMP}, year={2012}, month={12}, keywords={review spam review spammer spam behavior}, doi={10.4108/icst.collaboratecom.2012.250640} }- Yingying Ma
Fengjun Li
Year: 2012
Detecting Review Spam: Challenges and Opportunities
CCSOCIALCOMP
IEEE
DOI: 10.4108/icst.collaboratecom.2012.250640
Abstract
Online customer reviews for both products or merchants have greatly affected others’ decision making in purchase. Considering the easily accessibility of the reviews and the significant impacts to the retailers, there is an increasing incentive to manipulate the reviews, mostly profit-driven. Without proper protection, spam reviews will cause gradual loss of credibility of the reviews and corrupt the entire online review systems eventually. Therefore, review spam detection is considered as the first step towards securing the online review systems. In this paper, we aim to overview existing detection approaches in a systematic way, define key research issues, and articulate future research challenges and opportunities for review spam detection.
