Finding trafficked children through crowdsourcing
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 who...
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Format: | Journal Article |
Language: | English |
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2021
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Online Access: | https://hdl.handle.net/10356/151591 |
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author | Goh, Dion Hoe-Lian Lee, Chei Sian Guo, Hang |
author2 | Wee Kim Wee School of Communication and Information |
author_facet | Wee Kim Wee School of Communication and Information Goh, Dion Hoe-Lian Lee, Chei Sian Guo, Hang |
author_sort | Goh, Dion Hoe-Lian |
collection | NTU |
description | 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. |
first_indexed | 2024-10-01T03:31:15Z |
format | Journal Article |
id | ntu-10356/151591 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:31:15Z |
publishDate | 2021 |
record_format | dspace |
spelling | ntu-10356/1515912021-07-01T02:04:57Z Finding trafficked children through crowdsourcing Goh, Dion Hoe-Lian Lee, Chei Sian Guo, Hang Wee Kim Wee School of Communication and Information Social sciences::Communication Engineering::Computer science and engineering Child Trafficking Crowdsourcing 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. 2021-07-01T02:04:57Z 2021-07-01T02:04:57Z 2018 Journal Article 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 2373-9231 https://hdl.handle.net/10356/151591 10.1002/pra2.2018.14505501127 2-s2.0-85064485223 1 55 811 812 en Proceedings of the Association for Information Science and Technology © 2018 Association for Information Science and Technology. All rights reserved. |
spellingShingle | Social sciences::Communication Engineering::Computer science and engineering Child Trafficking Crowdsourcing Goh, Dion Hoe-Lian Lee, Chei Sian Guo, Hang Finding trafficked children through crowdsourcing |
title | Finding trafficked children through crowdsourcing |
title_full | Finding trafficked children through crowdsourcing |
title_fullStr | Finding trafficked children through crowdsourcing |
title_full_unstemmed | Finding trafficked children through crowdsourcing |
title_short | Finding trafficked children through crowdsourcing |
title_sort | finding trafficked children through crowdsourcing |
topic | Social sciences::Communication Engineering::Computer science and engineering Child Trafficking Crowdsourcing |
url | https://hdl.handle.net/10356/151591 |
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