Finding trafficked children through crowdsourcing
Dion Hoe‐Lian Goh, Chei Sian Lee, Hang Guo · Proceedings of the Association for Information Science and Technology · 2018
ABSTRACT Tackling child trafficking requires a multi‐pronged approach from government and non‐government organizations as well as individuals. In this paper, we introduce Zhongxun, a crowdsourcing platform for finding missing children that have been potentially trafficked. Users submit photos of children whom they suspect may be victims of trafficking. Zhongxun uses a facial recognition algorithm to match the submission against its database of photos missing children and returns those that are similar for followup action. Users may also provide feedback on the matches to improve the facial recognition algortihm. Zhongxun is a live system and is currently being used in China.