Social networks and trust : NetTrust

Google Tech Talks February, 28 2008 ABSTRACT NetTrust is a system that embeds social context in browsing by combining individual histories, social networks, and explicit ratings. NetTrust combines an implicit and explicit means of data collection. This trust based system uses shared browsing histories from a user's self-selected social networks to create both explicit and implicit data collection. NetTrust targets the human element of trust. It projects how a social network can signal meaningful trust information that can make an educative browsing experience. NetTrust allows an individual to select their own trusted sources of information and rate particular sites as trustworthy (or not). NetTrust allows an individual to select their own trusted authoritative sources of information from a market of ratings agencies and combine these ratings with the reputation information from their individual social network. This paper will present the Net Trust system; the dorm-based homophily tests with implications and the undergraduate-focused user testing. Speaker: Professor L. Jean Camp Professor L. Jean Camp is the author of Trust and Risk in Internet Commerce (MIT Press), Economics of Identity Theft (Springer) and the editor of Economics of Information Security (Kluwer Academic). She has authored over one hundred works, including seventy peer-reviewed works and eighteen book chapters. In addition to presentations at peer-reviewed venues, she has made scores of invited presentations on four continents. Her service has included the Board of Directors of Computer Professionals for Social Responsibility, the Board of Governors of the IEEE Society on Social Implications of Technology, Senior Member of the IEEE, and longstanding member of the USACM. See http://www.ljean.com/cv.html for more detailed information and full text of various publications.