Conference item
Investigating human trafficking recruitment online: a study of fraudulent job offers on social media platforms
- Abstract:
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In recent years, human traffickers have increasingly relied on social media to target and recruit victims. However, limited research has been conducted on the recruitment methods for human trafficking on social media, particularly in developing countries. Through in-person and digital observations, interviews, and case analysis, our paper sheds light on the tactics used by traffickers on social media to lure people into trafficking and highlights the characteristics of suspicious job advertisements used for human trafficking recruitment.
Our paper also discusses the investigative techniques employed by anti-trafficking experts to address recruitment and the challenges they face when identifying and investigating fraudulent jobs. Based on these findings, we provide recommendations on how technology can help tackle the problem of recruiting people online, and suggest design implications to improve the safety of social media platforms. Furthermore, we discuss the challenges and ethical considerations in developing anti-trafficking software and provide suggestions for addressing these challenges.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
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(Preview, Version of record, pdf, 1.0MB, Terms of use)
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(Preview, Accepted manuscript, pdf, 1.1MB, Terms of use)
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- Publisher copy:
- 10.1145/3711016
Authors
- Publisher:
- Association for Computing Machinery
- Journal:
- Proceedings of the ACM on Human-Computer Interaction More from this journal
- Volume:
- 9
- Issue:
- 2
- Article number:
- CSCW118
- Publication date:
- 2025-05-02
- Acceptance date:
- 2024-12-09
- Event title:
- 28th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2025)
- Event location:
- Bergen, Norway
- Event website:
- https://cscw.acm.org/2025/
- Event start date:
- 2025-10-18
- Event end date:
- 2024-10-22
- DOI:
- EISSN:
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2573-0142
- Language:
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English
- Keywords:
- Pubs id:
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2071265
- Local pid:
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pubs:2071265
- Deposit date:
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2024-12-17
- ARK identifier:
Terms of use
- Copyright holder:
- Moyo et al.
- Copyright date:
- 2024
- Rights statement:
- © 2025 Copyright held by the owner/author(s). Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford’s Open Access Publications Policy, and a CC BY public copyright licence has been applied.
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