Predictors of Online Child Sexual Abuse in a U.S. National Sample

As technology has become increasingly integrated into the everyday lives of young people and social interactions have moved online, so too have the opportunities for child sexual abuse. However, the risk factors for online sexual abuse, and their similarities or differences with those of offline sex...

Full description

Saved in:  
Bibliographic Details
Authors: Turner, Heather A. (Author) ; Finkelhor, David (Author) ; Colburn, Deirdre (Author)
Format: Electronic Article
Language:English
Published: 2023
In: Journal of interpersonal violence
Year: 2023, Volume: 38, Issue: 11/12, Pages: 7780-7803
Online Access: Volltext (lizenzpflichtig)
Journals Online & Print:
Drawer...
Check availability: HBZ Gateway
Keywords:

MARC

LEADER 00000caa a22000002 4500
001 184580368X
003 DE-627
005 20230523002343.0
007 cr uuu---uuuuu
008 230522s2023 xx |||||o 00| ||eng c
024 7 |a 10.1177/08862605221149090  |2 doi 
035 |a (DE-627)184580368X 
035 |a (DE-599)KXP184580368X 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 2,1  |2 ssgn 
100 1 |a Turner, Heather A.  |e VerfasserIn  |4 aut 
245 1 0 |a Predictors of Online Child Sexual Abuse in a U.S. National Sample 
264 1 |c 2023 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a As technology has become increasingly integrated into the everyday lives of young people and social interactions have moved online, so too have the opportunities for child sexual abuse. However, the risk factors for online sexual abuse, and their similarities or differences with those of offline sexual abuse have not been clarified, making it difficult to design prevention strategies. Using a nationally representative online survey panel of young adults ages 18 to 28, the current study sought to identify risk factors for online childhood sexual abuse and compare their relevance and strength in predicting offline sexual abuse. The 2,639 participants, ages 18 to 28, were sampled from the Ipsos KnowledgePanel and were asked questions about 11 different kinds of technology-facilitated online sexual abuse that occurred in childhood, follow-up questions about their dynamics and offenders, and a variety of potential risk factors. Results indicated that: (1) being cisgender female, nonheterosexual, and having parents with less than a high school education emerged as important demographic predictors of online child sexual abuse (OCSA); and (2) early offline sexual abuse was the strongest predictor of OCSA, when considering both its direct and indirect effects through online risky behavior. Findings suggest that prevention programs directed at reducing risk of sexual abuse, in general, are likely to be effective against online sexual abuse, provided they also incorporate efforts to educate youth on the need to avoid risky online behaviors. 
650 4 |a internet crime 
650 4 |a Image-based sexual abuse 
650 4 |a Sexting 
650 4 |a solicitation 
650 4 |a sextortion 
700 1 |a Finkelhor, David  |e VerfasserIn  |0 (DE-588)1036705668  |0 (DE-627)751003247  |0 (DE-576)385331096  |4 aut 
700 1 |a Colburn, Deirdre  |e VerfasserIn  |4 aut 
773 0 8 |i Enthalten in  |t Journal of interpersonal violence  |d London [u.a.] : Sage, 1986  |g 38(2023), 11/12, Seite 7780-7803  |h Online-Ressource  |w (DE-627)324614721  |w (DE-600)2028900-5  |w (DE-576)276556305  |x 1552-6518  |7 nnns 
773 1 8 |g volume:38  |g year:2023  |g number:11/12  |g pages:7780-7803 
856 4 0 |u https://doi.org/10.1177/08862605221149090  |x Resolving-System  |z lizenzpflichtig  |3 Volltext 
935 |a mkri 
951 |a AR 
ELC |a 1 
LOK |0 000 xxxxxcx a22 zn 4500 
LOK |0 001 4324321507 
LOK |0 003 DE-627 
LOK |0 004 184580368X 
LOK |0 005 20230522043613 
LOK |0 008 230522||||||||||||||||ger||||||| 
LOK |0 035   |a (DE-2619)KrimDok#2023-05-21#51395829C05311FB9A5E09A58E20B3C5FADC2188 
LOK |0 040   |a DE-2619  |c DE-627  |d DE-2619 
LOK |0 092   |o n 
LOK |0 852   |a DE-2619 
LOK |0 852 1  |9 00 
LOK |0 935   |a zota 
ORI |a SA-MARC-krimdoka001.raw