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Interpersonal surveillance over social network sites

Applying a theory of negative relational maintenance and the investment model

Bibliographic Data

ID2938564
AuthorsRobert S Tokunaga (0000-0001-6302-7532, University of Hawaiʻi at Mānoa, corresponding author)
Year2016
Volume33
Issue2
Pages171-190
Publication date2016-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Social and Personal Relationships (JOURNAL)
Journal identifiersISSN: 0265-4075 • E-ISSN: 1460-3608
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0265407514568749
OpenAlexW2032178288
LanguageEN
Citations received32
References cited61

Surveillance has long been used as a way to guard against dangers lurking in one's immediate environment. Humans have carried over this evolutionarily adaptive solution to the maintenance of their interpersonal relationships. The landscape of relational surveillance has dramatically changed with the inception of Internet platforms, such as social networking sites. The goal of this investigation is to understand the motives of online surveillance in romantic relationships. Patterns of negative relational maintenance behaviors and the investment model were used to predict relational determinants of surveillance over social networking sites. A cross-sectional survey design was employed to collect data from college student and nonstudent adult populations. The results find that indicators of low-quality relationships, such as low satisfaction, are associated with online surveillance. Interpersonal surveillance over social networking sites is in turn related to larger amounts of time spent on romantic partners' profile pages

Internet privacy · Interpersonal communication · Interpersonal relationship · Romance · Social media · Social network (sociolinguistics · Survey data collection · The Internet · World Wide Web · Attachment and Relationship Dynamics · Computer Science · Impact of Technology on Adolescents · Psychology · Sexuality, Behavior, and Technology · Social Psychology

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Unique citing works32
Citations per year3,2
Citation span2016 - 2026 (11)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 32

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