Abstract
We present results from a mixed methods study, involving survey data collection and focus groups, to understand the current processes of identifying victims of human trafficking in Thailand. Participants represent a broad spectrum of inter-governmental organizations, regional and local NGOs, Thai government officials, translators, and previously exploited migrant workers. Across these different stakeholders, participants identified key problems of lack of trust, communication issues, and differences in understanding of the key indicators of human trafficking between parties. The study also highlighted participants’ perceptions on the role that technology can play to address the problems they face in identifying victims. It identifies the use of a smart phone application on the NGO or frontline responder’s own device as a potential facility to enable workers in vulnerable situations to self-identify and seek help, allowing them to bridge the communication and skills divide with the channels of help that already exist.
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Acknowledgements
We thank our colleagues from The Mekong Club, in particular Silvia Mera, who helped to organize and conduct the field research that formed the basis of this research.
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Thinyane, H. (2019). Supporting the Identification of Victims of Human Trafficking and Forced Labor in Thailand. In: Krauss, K., Turpin, M., Naude, F. (eds) Locally Relevant ICT Research. IDIA 2018. Communications in Computer and Information Science, vol 933. Springer, Cham. https://doi.org/10.1007/978-3-030-11235-6_5
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