Social Turing Tests: Crowdsourcing Sybil Detection

Author(s): Gang Wang, Manish Mohanlal, Christo Wilson, Xiao Wang, Miriam Metzger, Haitao Zheng and Ben Y. Zhao

Download: Paper (PDF)

Date: 23 Apr 2013

Document Type: Presentations

Additional Documents: Slides

Associated Event: NDSS Symposium 2013

Abstract:

We explore the feasibility of a crowdsourced system using human intuition to detect Sybil (fake accounts) in online social networks. We conduct a large user study using a large corpus of ground-truth from Facebook and Renren, and users from Amazon Turk and Chinese crowdsourcing systems. We find this approach promising and propose a multi-tier detection system that is both scalable and highly accurate.