Mnikr: reputation construction through human trading of distributed social identities

Reputation forms an important part of how we come to trust people in face-to-face interactions, and thus situations involving trust online have come to realize that reputation is an important characteristic in the digital age. We propose a new holistic and context-free approach to quantifying reputation on the Internet, based upon a stock exchange where users can trade reputation shares of other users and obtain goodwill dividends, including new algorithms for identifying and creating digital identities not inherently tied to a user’s personally identifiable information. We developed such a system, named Mnikr, and deployed our system on the Internet for a month to demonstrate and evaluate this approach. Our results suggest that existing public data sources can indeed be used to create an overarching social network whose utility is greater than its number of users would indicate, and in which reputation measurements are generated that are actually indicative of each user’s standi...

• Type: Conference
• Year: 2009
• Where: DIM
• Authors: Brendan Francis O'Connor, John Linwood Griffin
• Keywords: Algorithms Keywords Reputation, DIM 2009, Information Management, Reputation Shares, Situations Involving Trust