The 2nd International Workshop on Collaborative Communities for Social Computing

Research Article

Detecting Review Spam: Challenges and Opportunities

Download902 downloads
  • @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
Yingying Ma1, Fengjun Li1,*
  • 1: University of Kansas
*Contact email: fli@ku.edu

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.