Publication Cover
Victims & Offenders
An International Journal of Evidence-based Research, Policy, and Practice
Volume 17, 2022 - Issue 6
762
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Adapting and Applying Offline Theory to Online Victimization: A Test of the Shadow of Sexual Assault Hypothesis with Fear of Online Victimization

ORCID Icon, &
Pages 795-812 | Published online: 15 Aug 2022
 

ABSTRACT

The shadow of sexual assault hypothesis has received considerable support in explaining women’s fear of crime. However, this hypothesis has yet to be tested in relation to online victimization. Utilizing a sample of undergraduates, this study tests the shadow hypothesis in the context of the Internet by examining the impact of fear of unwanted online sexual advances on individuals’ fear of online victimization, generally. Findings indicate that men’s and women’s levels of fear of online victimization differ, with women being significantly more fearful of several types of online victimization. Multiple regression findings also show that the effects of fear of unwanted online sexual advances may account for the relationship between sex and fear of online victimization.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1. Of the nonwhite respondents, approximately 5% were Asian/Pacific Islander, 3% were Black or African American, 1% were Hispanic, and 1% were another race/ethnicity.

2. Of the non-heterosexual respondents, approximately 2% were homosexual, 2% were bi-sexual, and 12% identified as another sexual orientation.

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 234.00 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.