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Characterizing Scam-Driven Human Trafficking Across Chinese Borders and Online Community Responses on RedNote

Zheng, Jiamin, Deng, Yue, Chen, Jessica, Li, Shujun, Zou, Yixin, Li, Jingjie (2026) Characterizing Scam-Driven Human Trafficking Across Chinese Borders and Online Community Responses on RedNote. [Conference item] (doi:10.1145/3772318.3791786) (KAR id:114786)

Abstract

A new form of human trafficking has emerged across Chinese borders, where individuals are lured to Southeast Asia with fraudulent job offers and then coerced into operating online scams. Despite its massive economic and human toll, this scam-driven trafficking remains underexplored in academic research. Through qualitative analysis of 158 RedNote posts, we examined how Chinese online communities respond to this threat. Our findings reveal that perpetrators exploit cultural ties to recruit victims for cybercriminal roles within self-sustaining compounds, using sophisticated manipulation tactics. Survivors face serious reintegration barriers, including family rejection, as the cultural values that enable trafficking also hinder their recovery. While communities present protective strategies, efforts are complicated by doubts about the reliability of support and cross-border coordination. We discuss key implications for prevention, platform governance, and international cooperation against scam-driven trafficking. Warning: This paper contains descriptions of physical, psychological, and sexual abuse.

Item Type: Conference item (Slides)
DOI/Identification number: 10.1145/3772318.3791786
Uncontrolled keywords: Human trafficking, scam, China, Southeast Asia, social media, RedNote
Subjects: H Social Sciences > HM Sociology
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5105 Data transmission systems > TK5105.5 Computer networks > TK5105.875.I57 Internet
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5105.888 World Wide Web
Institutional Unit: Schools > School of Computing
Institutes > Institute of Cyber Security for Society
Former Institutional Unit:
There are no former institutional units.
Funders: Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
Deutsche Forschungsgemeinschaft (https://ror.org/018mejw64)
Google (United Kingdom) (https://ror.org/024bc3e07)
Depositing User: Shujun Li
Date Deposited: 12 May 2026 11:27 UTC
Last Modified: 13 May 2026 03:22 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/114786 (The current URI for this page, for reference purposes)

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