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University of Ontario Institute of Technology

Exploring the interactional theory: a theoretical exploration of the dark web’s impact on delinquent behaviour

Abstract

dc:description.abstract

Throughout the years, modern issues of delinquent behaviour have evolved and shifted from the advancements of technology and the development of the virtual world. Despite the possibility for this connection, research has exclusively concentrated on the disruption of product flow. This study looks to explore the development and significance of delinquent behaviour within the dark web. Using Thornberry’s (1987) Interactional theory, the study explores how the dark web manifested as a marketplace, illegal tool-kit, and virtual community impacts delinquent behaviour. The study conducts an exploratory case study on the illicit Whitehouse market to explore while the interactional theory is a useful theoretical approach that can account for the dark web as a marketplace, illegal tool-kit, and virtual community impacting delinquent behaviour, it fails to account whether or not the dark web impacts the weakening of normative social bonds to conventional society.

Degree

thesis:*
Name thesis:degree_name
Master of Arts (MA)
Discipline thesis:degree_discipline
Criminology
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Magnante, Michael
Advisor dc:contributor.advisor
  • Downing, Steven

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1352
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1352

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Magnante, Michael. Exploring the interactional theory: a theoretical exploration of the dark web’s impact on delinquent behaviour. University of Ontario Institute of Technology, 2021. https://hdl.handle.net/10155/1352