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Journal Article

Citation

Negriff S, Valente TW. Child Abuse Negl. 2018; 85: 209-219.

Affiliation

University of Southern California, Department of Preventive Medicine, Keck School of Medicine, 2001 N. Soto St., Los Angeles, CA 90034, United States. Electronic address: tvalente@usc.edu.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.chiabu.2018.01.033

PMID

29428353

Abstract

Maltreated youth are at risk for exposure to online sexual content and high-risk sexual behavior, yet characteristics of their online social networks have not been examined as a potential source of vulnerability. The aims of the current study were: 1) to test indicators of size (number of friends) and fragmentation (number of connections between friends) of maltreated young adults' online networks as predictors of intentional and unintentional exposure to sexual content and offline high-risk sexual behavior and 2) to test maltreatment as a moderator of these associations. Participants were selected from a longitudinal study on the effects of child maltreatment (n = 152; Mean age 21.84 years). Data downloaded from Facebook were used to calculate network variables of size (number of friends), density (connections between friends), average degree (average number of connections for each friend), and percent isolates (those not connected to others in the network). Self-reports of intentional and unintentional exposure to online sexual content and offline high-risk sexual behavior were the outcome variables. Multiple-group path modeling showed that only for the maltreated group having a higher percent of isolates in the network predicted intentional exposure to online sexual content and offline high-risk sexual behavior. An implication of this finding is that the composition of the Facebook network may be used as a risk indicator for individuals with child-welfare documented maltreatment experiences.

Copyright © 2018. Published by Elsevier Ltd.


Language: en

Keywords

Facebook; Maltreatment; Online social networks; Sexual risk behavior; Social network analysis

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