3,970
Views
17
CrossRef citations to date
0
Altmetric
Articles

Deductive thematic analysis of a female paedophilia website

&
Pages 284-300 | Published online: 02 Jul 2008
 

Abstract

The role of the Internet and other technologies in sexual offending has recently received much attention. The literature, however, has focused largely on male sexual abusers and much has to be learned about deviant female arousal patterns. The purpose of this article was to investigate how women with a sexual interest in children engage with the Internet. Data taken from one female paedophilia website have been subjected to a deductive thematic analysis. The analysis generated five main categories: cognitive distortions, recognition barriers, sexual motivation, the role of the Internet, and personal factors. The findings indicate that women are using the Internet to express a sexual interest in children and that they display similar characteristics to male individuals engaged in the same processes.

Notes

This paper has been presented at a number of conferences and workshops: Child Exploitation and Online Protection of Children (CEOP), Metropolitan Police, London, United Kingdom, January 2007; Paedophile Investigation Unit, An Garda Siochana (Irish Police), Harcourt Square, Dublin, Ireland, May 2007; Forensic Symposium, Psychological Society of Ireland's Annual Conference 2006 and 2007.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 134.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.