Linguistic mechanisms of knowledge-exchange in a dark-web money laundering forum

Emily Chiang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (SciVal)
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Abstract

Money laundering facilitates serious crime, enables the expansion of criminal operations, and destabilises economies. Extant scholarship is largely concerned with anti-money laundering approaches, with far less attention being paid to the language and behaviours of the individuals who engage in money laundering. ‘Dark-web’ discussion fora are prime loci for illicit knowledge exchange and key enablers of money laundering, yet, are underexplored as sites for understanding the online activities and behaviours of users. This paper reports on a corpus-assisted discourse analysis of one such forum, guided by research questions around the key topics and common linguistic strategies by which knowledge is exchanged within a large community of individuals interested in money laundering, and the ways in which this community serves its members. The analysis identifies the forum as an extremely efficient and productive site for knowledge-exchange and thus ‘criminal upskilling’, which is attributed to three core characteristics: a strict adherence to community rules, a highly knowledgeable user base, and a culture of friendliness and reciprocity.
Original languageEnglish
Article number0329777
Number of pages16
JournalPLoS ONE
Volume20
Issue number8
Early online date5 Aug 2025
DOIs
Publication statusPublished - Aug 2025

Bibliographical note

Copyright © 2025 Emily Chiang. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Access Statement

Data cannot be shared publicly because it is sensitive and illicit in nature, and especially because of the possibility that it could be used to the advantage of people with criminal interests. This is in accordance with the Aston University Ethics Committee. Data will be made available from the Forensic Linguistic Databank (FoLD) at the Aston Institute for Forensic Linguistics for researchers who meet the criteria for access to confidential data. Access can be requested at [email protected]

Keywords

  • Humans
  • Internet
  • Knowledge
  • Laundering
  • Linguistics

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