By Luca Giommoni, Ruth Ikwu

   This study identifies the presence of human trafficking indicators in a UK-based sample of sex workers who advertise their services online. To this end, we devel oped a crawling and scraping software that enabled the collection of information from 17, 362 advertisements for female sex workers posted on the largest dedicated platform for sex work services in the UK. We then established a set of 10 indicators of human trafficking and a transparent and replicable methodology through which to detect their presence in our sample. Most of the advertisements (58.3%) contained only one indicator, while 3,694 of the advertisements (21.3%) presented 2 indicators of human trafficking. Only 1.7% of the advertisements reported three or more indica tors, while there were no advertisements that featured more than four. 3, 255 adver tisements (19.0%) did not contain any indicators of human trafficking. Based on this analysis, we propose that this approach constitutes an effective screening process for quickly identifying suspicious cases, which can then be examined by more compre hensive and accurate tools to identify if human trafficking is occurring. We conclude by calling for more empirical research into human trafficking indicators

Trends in Organized Crime. 2024, 14pg