Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151591
Title: Finding trafficked children through crowdsourcing
Authors: Goh, Dion Hoe-Lian
Lee, Chei Sian
Guo, Hang
Keywords: Social sciences::Communication
Engineering::Computer science and engineering
Issue Date: 2018
Source: Goh, D. H., Lee, C. S. & Guo, H. (2018). Finding trafficked children through crowdsourcing. Proceedings of the Association for Information Science and Technology, 55(1), 811-812. https://dx.doi.org/10.1002/pra2.2018.14505501127
Journal: Proceedings of the Association for Information Science and Technology
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.
URI: https://hdl.handle.net/10356/151591
ISSN: 2373-9231
DOI: 10.1002/pra2.2018.14505501127
Rights: © 2018 Association for Information Science and Technology. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:WKWSCI Journal Articles

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