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Linguistic analysis of suspected child sexual offenders’ interactions in a dark web image exchange chatroom

Bibliographic Data

ID19535658
AuthorsEmily Chiang (0000-0002-0216-1719, Turing Institute), Dong Nguyen (0000-0002-6062-3117, Turing Institute), Amanda Towler (Turing Institute), Mark Haas (0000-0002-7181-4664, Turing Institute), J Grieve (0000-0003-3630-7349, Turing Institute)
Year2021
Volume27
Issue2
Pages1-33
Publication date2021-05-21
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInternational Journal of Speech Language and the Law (JOURNAL)
Journal identifiersISSN: 1748-8885 • E-ISSN: 1748-8893
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.1558/ijsll.41446
OpenAlexW3156984408
LanguageEN
Citations received5
References cited9

Child sexual offenders convene in dark web spaces to exchange indecent imagery, advice and support. In response, law enforcement agencies deploy undercover agents to pose as offenders online to gather intelligence on these offending communities. Currently, however, little is known about how offenders interact online, which raises significant questions around how undercover officers should ‘authentically’ portray the persona of a child sexual offender. This article presents the first linguistic description of authentic offender–offender interactions taking place on a dark web image exchange chatroom. Using move analysis, we analyse chatroom users’ rhetorical strategies. We then model the move sequences of different users and user types using Markov chains, to make comparisons between their linguistic behaviours. We find the predominant moves characterising this chatroom are Offering Indecent Images, Greetings, Image Appreciation, General Rapport and Image Discussion, and that rhetorical strategies differ between users of different levels of offending and dark web image-sharing experience

Internet privacy · Law enforcement · Linguistics · Online forum · Political science · Rhetorical question · Authorship Attribution and Profiling · Computer Science · Law · Psychology · Psychopathy, Forensic Psychiatry, Sexual Offending · Social Psychology · Stalking, Cyberstalking, and Harassment

  • Linguistic Analysis of Online Criminal Communications

    Open Access•Daniela Schneevogt, Emily Chiang•Encyclopedia of Applied Linguistics•2025

  • Identity in a Self-styled ‘Paedophile-hunting’ Group

    Open Access•Emily Chiang, Mark De Rond et al.•Applied Linguistics•2024

  • I read the rules and know what is expected of me”

    Open Access•Emily Chiang•Discourse Context & Media•2024

  • ‘Trade?’ – The discourse of online sexual harmful exchanges between children

    Open Access•Nuria Lorenzo-Dus, Keighley Perkins et al.•Journal of Pragmatics•2026

  • Honor Among Conservative Pedophiles

    Open Access•Naushaan Ahmad, N N Ahmad et al.•Deviant Behavior•2026

  • Child sexual abuse

    David Finkelhor•Child sexual abuse•1984

  • Strengthening move analysis methodology towards bridging the function-form gap

    Open Access•Ana I Moreno, John M Swales•English for Specific Purposes•2018

  • Assuming Identities Online

    Tim Grant, Norman Macleod et al.•Applied Linguistics•2016

  • Investigators using the Internet to apprehend sex offenders

    Kimberly Mitchell, Kimberly J Mitchell et al.•Police Practice and Research•2012

  • An Integrated Theory of the Etiology of Sexual Offending

    W L Marshall, Howard E Barbaree•Handbook of Sexual Assault•1990

  • Current Responses to Sexual Grooming

    Open Access•Samantha Craven, Sarah Brown et al.•The Howard Journal of Criminal…•2007

  • Was this analysis helpful? A genre analysis of the Amazon.com discourse community and its “most helpful” product reviews

    Open Access•Stephen Skalicky•Discourse Context & Media•2013

  • Criminal Justice Act

    Open Access•Alec Samuels•Modern Law Review•1968

  • Liking and hyperlinking

    Open Access•Bryce G Westlake, Martin Bouchard•Social Science Research•2016

Unique citing works5
Citations per year2,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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