A comparison of online and offline Grooming characteristics: An application of the victim roles model
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Understanding these predicting pathways of grooming allows for a more successful intervention.
“Understanding these predicting pathways of grooming allows for a more successful intervention (Ioannou et al., 2018).”
From Risk factors for being a victim of online grooming in adolescents (2020) · cites this paper as Ioannou et al., 2018
The available passages are a title and bibliographic records (the entries labelled Abstract, with no page number); they do not discuss whether understanding grooming pathways improves intervention. Searches for “intervention,” “predictive pathways,” and prevention implications found no passage addressing that claim. (LLM, conf=0.75)
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Cites
Black, P. J., Wollis, M., Woodworth, M., & Hancock, J. T. (2015) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2014.12.004 · Cited by 153 · see citing works
Identifying sexual grooming themes used by internet sex offenders
Williams, R., Elliott, I. A., & Beech, A. R. (2013) · Deviant Behavior · doi:10.1080/01639625.2012.707550 · Cited by 121 · see citing works
Shannon, D. (2008) · Journal of Scandinavian Studies in Criminology and Crime Prevention · doi:10.1080/14043850802450120 · Cited by 78 · see citing works
Characterizing Pedophile Conversations on the Internet using Online Grooming
Gupta, A., Kumaraguru, P., & Sureka, A. (2012) · arXiv · doi:10.48550/arxiv.1208.4324 · Cited by 45 · see citing works
Flagged first, then by citations
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Offender strategies for engaging children in online sexual activity
Joleby, M., Lunde, C., Landström, S., & Jonsson, L. S. (2021) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2021.105214 · Cited by 59 · see citing works
“Ioannou et al., 2018 Compare online and offline grooming characteristics.”
Risk factors for being a victim of online grooming in adolescents
Schoeps, K., Montoya-Castilla, I., Garaigordobil, M., & Peris Hernández, M. (2020) · Psicothema · doi:10.7334/psicothema2019.179 · Cited by 43 · see citing works
“Understanding these predicting pathways of grooming allows for a more successful intervention (Ioannou et al., 2018).”
Background
- Authors
- Ioannou, M., Synnott, J., Reynolds, A., & Pearson, J.
- Affiliations
- University of Huddersfield (GB)
- ORCID
- Synnott, John
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 85
- Pages
- 291-297
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2795938598
- Cited by
- 36
- References
- 4
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 6 · 2020: 6 · 2019: 6 · 2018: 2
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- green
- pure.hud.ac.uk
- Licence
- Locations
- Computers in Human Behavior (publishedVersion)
- Huddersfield Research Portal (University of Huddersfield) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
- Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
- Social Sciences › Sociology and Political Science › Stalking, Cyberstalking, and Harassment
- Keywords
- online grooming, victim-offender interaction, sexual offences, victim role
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