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 | Schools: | Wee Kim Wee School of Communication and Information | 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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