Understanding grooming discourse in computer-mediated environments
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Interactions with decoys have identified different offender motivations: some aim to arrange an offline meeting to sexually abuse what they believe to be a child, while others aim to use the online contact for cybersex and masturbation.
“When it comes to online contact, interactions with decoys have identified different offender motivations.Some aim to arrange an offline meeting to sexually abuse what they believe to be a child (Lorenzo-Dus et al., 2016;Winters et al., 2017), while others aim to use the online contact for cybersex and masturbation (DeHart et al., 2017).”
From Offender strategies for engaging children in online sexual activity (2021) · cites this paper as Lorenzo-Dus et al., 2016
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- Authors
- Lorenzo-Dus, N., Izura, C., & Pérez-Tattam, R.
- Affiliations
- Swansea University (GB)
- Corresponding author
- Lorenzo-Dus, Nuria
- Venue
- Discourse, Context & Media
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 12
- Pages
- 40-50
- ISSN
- 2211-6958 (ISSN-L)
- OpenAlex
- W2293567322
- Cited by
- 101
- References
- 39
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 8 · 2023: 5 · 2022: 15 · 2021: 6 · 2020: 39 · 2019: 3 · 2018: 5 · 2017: 1
- FWCI
- 6.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Discourse Context & Media (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/M022722/1)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
- Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
- Physical Sciences › Computer Science › Human-Computer Interaction › Digital Communication and Language
- Keywords
- online grooming, child sexual exploitation, chat logs, sexual solicitation, deception, trust building, secrecy, exclusivity, computer-mediated communication
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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