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E-raamat: Internet-Mediated Exploitation in the Scottish Online Sex Market: A Case Study in Computational Criminology

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This book uses a mixed-methods approach to understand the role of technology in facilitating exploitation in the UK’s off-street sex markets. It offers a critical social perspective on a truly complex social phenomenon encapsulating both online and offline spaces. It makes quite complex topics, including web scraping, data mining, and big data analytics, accessible to a wider audience through the careful introduction and discussion of a series of interrelated topics relevant to the trafficking-technology nexus. It synthesises critical social theory with critical data studies to offer a nuanced perspective on the role of technology in facilitating organised exploitation within the sex market. It discusses the practical implications for policing and harm reduction in the context of exploitation in the sex market. In addition to being of particular interest to law enforcement practitioners, researchers, and students of the sex market, exploitation and human trafficking, it will also be of interest as a contemporary case study of digital criminology or computational criminology. 

Chapter 1: Introduction.
Chapter 2: Journeys into the Precariat Migration Exploitation and Trafficking.
Chapter 3: The Nature and Organisation of the Sex Market.
Chapter 4: Criminal Networks Opportunity Structures and the Process of Exploitation.
Chapter 5: Digital Traces Big Data and Epistemological Shifts.
Chapter 6: Methods in Practice Designing an Effective Workflow in Computational Criminology.
Chapter 7: Exploitation and the Policing of Contemporary Sex Markets in Scotland.
Chapter 8: Complexity Similarity and Tie Formation in Advert Networks.
Chapter 9: Network Influences on Extreme Service Advertisement.
Chapter 10: Key Messages and Conclusions Future Directions in the Computational Criminology of Internet Mediated Exploitation.

Richard Kjellgren is a researcher at the Salvation Army Centre for Addiction Services and Research in the Faculty of Social Sciences at the University of Stirling, UK. He uses mixed methods, quantitative data and big data analytics to understand and respond to social harms, specifically in relation to the intersection of justice-related issues and public health.