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

James Caverlee, Zhiyuan Cheng, Brian Eoff, Chiao-Fang Hsu, Krishna Kamath, Said Kashoob, Jeremy Kelley, Elham Khabiri, Kyumin Lee
2010 Proceedings of the 6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing  
Social information systems -popularized by Facebook, Wikipedia, Twitter, and other social websites -are emerging as a powerful new paradigm for distributed socialpowered 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
more » ... nd 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 communitybased 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.
doi:10.4108/icst.collaboratecom.2010.40 dblp:conf/colcom/CaverleeCEHKKKKL10 fatcat:t6dytjhuljb65gf43s2dtralze