On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity
<|reference_start|>On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity: Our study addresses the challenges of building datasets to understand the risks associated with organized activities and human trafficking through commercial sex advertisements. These challenges include data scarcity, rapid obsolescence, and privacy concerns. Traditional approaches, which are not automated and are difficult to reproduce, fall short in addressing these issues. We have developed a reproducible and automated methodology to analyze five million advertisements. In the process, we identified further challenges in dataset creation within this sensitive domain. This paper presents a streamlined methodology to assist researchers in constructing effective datasets for combating organized crime, allowing them to focus on advancing detection technologies.<|reference_end|>
@article{rivas2024on,
    title={On the Challenges of Creating Datasets for Analyzing Commercial Sex
  Advertisements to Assess Human Trafficking Risk and Organized Activity},
    author={Pablo Rivas, Tomas Cerny, Alejandro Rodriguez Perez, Javier Turek,
  Laurie Giddens, Gisela Bichler, Stacie Petter},
    journal={arXiv preprint arXiv:2405.13348},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.13348},
    primaryClass={cs.LG}
}