6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing

Research Article

SocialTrust++: Building community-based trust in Social Information Systems

Download709 downloads
  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2010.40,
        author={James Caverlee and Zhiyuan Cheng and Brian Eoff and Chiao-Fang Hsu and Krishna Kamath and Said Kashoob and Jeremy Kelley and Elham  Khabiri and Kyumin  Lee},
        title={SocialTrust++: Building community-based trust in Social Information Systems},
        proceedings={6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2011},
        month={5},
        keywords={Buildings Communities History Information systems Monitoring Predictive models Social network services},
        doi={10.4108/icst.collaboratecom.2010.40}
    }
    
  • James Caverlee
    Zhiyuan Cheng
    Brian Eoff
    Chiao-Fang Hsu
    Krishna Kamath
    Said Kashoob
    Jeremy Kelley
    Elham Khabiri
    Kyumin Lee
    Year: 2011
    SocialTrust++: Building community-based trust in Social Information Systems
    COLLABORATECOM
    ICST
    DOI: 10.4108/icst.collaboratecom.2010.40
James Caverlee1,*, Zhiyuan Cheng1, Brian Eoff1, Chiao-Fang Hsu1, Krishna Kamath1, Said Kashoob1, Jeremy Kelley1, Elham Khabiri1, Kyumin Lee1
  • 1: Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77845
*Contact email: caverlee@cse.tamu.edu

Abstract

Social information systems - popularized by Facebook, Wikipedia, Twitter, and other social websites - are emerging as a powerful new paradigm for distributed social-powered information management. While there has been growing interest in these systems by businesses, government agencies, and universities, there remain important open challenges that must be addressed if the potential of these social systems is to be fully realized. For example, the presence of poor quality users and users intent on manipulating the system can disrupt the quality of socially-powered information and knowledge sharing applications. In this paper, we outline the SocialTrust++ project at Texas A&M University. The overall research goal of the SocialTrust++ project is to develop, analyze, deploy, and test algorithms for building, enabling, and leveraging community-based trust in Social Information Systems. Concretely, we are developing a trustworthy community-based information platform so that each user in a Social Information System can have transparent access to the community's trust perspective to enable more effective and efficient social information access.