Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/34125
Appears in Collections: | Faculty of Social Sciences Journal Articles |
Peer Review Status: | Refereed |
Title: | Good Tech, Bad Tech: Policing Sex Trafficking with Big Data |
Author(s): | Kjellgren, Richard |
Keywords: | Big data sex trafficking exploitation policing |
Issue Date: | 2022 |
Date Deposited: | 5-Apr-2022 |
Citation: | Kjellgren R (2022) Good Tech, Bad Tech: Policing Sex Trafficking with Big Data. International Journal for Crime, Justice and Social Democracy, 11 (1), pp. 149-166. https://doi.org/10.5204/ijcjsd.2139 |
Abstract: | Technology is often highlighted in popular discourse as a causal factor in significantly increasing sex trafficking. However, there is a paucity of robust empirical evidence on sex trafficking and the extent to which technology facilitates it. This has not prevented the proliferation of beliefs that technology is essential for disrupting or even ending sex trafficking. Big data analytics and anti-trafficking software are used in this context to produce knowledge and intelligence on sex trafficking. This paper explores the challenges and limitations of understanding exploitation through algorithms and online data. It also highlights the key dimensions of exploitation ignored in big data-oriented research on sex trafficking. By doing so, the paper seeks to advance our theoretical understanding of the trafficking–technology nexus, and it is argued that sex trafficking must be reframed along a continuum of exploitation that is sensitive to the social context of exploitation within the sex market. |
DOI Link: | 10.5204/ijcjsd.2139 |
Rights: | Except where otherwise noted, content in this journal is licensed under a Creative Commons Attribution 4.0 International Licence. As an open access journal (https://creativecommons.org/licenses/by/4.0/), articles are free to use with proper attribution. |
Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2139-Article Text-8659-1-10-20220215.pdf | Fulltext - Published Version | 402.24 kB | Adobe PDF | View/Open |
This item is protected by original copyright |
A file in this item is licensed under a Creative Commons License
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.