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Assessing the Factors Associated With the Detection of Juvenile Hacking Behaviors
Research on delinquency reduction often highlights the importance of identifying and sanctioning antisocial and illegal activities so as to reduce the likelihood of future offending. The rise of digital technology complicates the process of detecting cybercrimes and technology enabled offenses, as i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214713/ https://www.ncbi.nlm.nih.gov/pubmed/32431647 http://dx.doi.org/10.3389/fpsyg.2020.00840 |
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author | Lee, Jin Ree Holt, Thomas J. |
author_facet | Lee, Jin Ree Holt, Thomas J. |
author_sort | Lee, Jin Ree |
collection | PubMed |
description | Research on delinquency reduction often highlights the importance of identifying and sanctioning antisocial and illegal activities so as to reduce the likelihood of future offending. The rise of digital technology complicates the process of detecting cybercrimes and technology enabled offenses, as individuals can use devices from anywhere to engage in various harmful activities that may appear benign to an observer. Despite the growth of cybercrime research, limited studies have examined the extent to which technology enabled offenses are detected, or the behavioral and attitudinal factors associated with being unobserved or caught for one’s actions. The current study addresses this gap in the literature by estimating a multinomial regression model for self-reported computer hacking behavior and the likelihood of those actions being detected in a large international sample of juveniles (N = 51,059). The findings demonstrate significant differences between youth who hack without detection compared to those who are caught. The implications of this analysis for our understanding of cybercrime and its relationship to traditional delinquency are explored in depth. |
format | Online Article Text |
id | pubmed-7214713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72147132020-05-19 Assessing the Factors Associated With the Detection of Juvenile Hacking Behaviors Lee, Jin Ree Holt, Thomas J. Front Psychol Psychology Research on delinquency reduction often highlights the importance of identifying and sanctioning antisocial and illegal activities so as to reduce the likelihood of future offending. The rise of digital technology complicates the process of detecting cybercrimes and technology enabled offenses, as individuals can use devices from anywhere to engage in various harmful activities that may appear benign to an observer. Despite the growth of cybercrime research, limited studies have examined the extent to which technology enabled offenses are detected, or the behavioral and attitudinal factors associated with being unobserved or caught for one’s actions. The current study addresses this gap in the literature by estimating a multinomial regression model for self-reported computer hacking behavior and the likelihood of those actions being detected in a large international sample of juveniles (N = 51,059). The findings demonstrate significant differences between youth who hack without detection compared to those who are caught. The implications of this analysis for our understanding of cybercrime and its relationship to traditional delinquency are explored in depth. Frontiers Media S.A. 2020-05-05 /pmc/articles/PMC7214713/ /pubmed/32431647 http://dx.doi.org/10.3389/fpsyg.2020.00840 Text en Copyright © 2020 Lee and Holt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Lee, Jin Ree Holt, Thomas J. Assessing the Factors Associated With the Detection of Juvenile Hacking Behaviors |
title | Assessing the Factors Associated With the Detection of Juvenile Hacking Behaviors |
title_full | Assessing the Factors Associated With the Detection of Juvenile Hacking Behaviors |
title_fullStr | Assessing the Factors Associated With the Detection of Juvenile Hacking Behaviors |
title_full_unstemmed | Assessing the Factors Associated With the Detection of Juvenile Hacking Behaviors |
title_short | Assessing the Factors Associated With the Detection of Juvenile Hacking Behaviors |
title_sort | assessing the factors associated with the detection of juvenile hacking behaviors |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214713/ https://www.ncbi.nlm.nih.gov/pubmed/32431647 http://dx.doi.org/10.3389/fpsyg.2020.00840 |
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