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Cited by 449

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control

Open access
Wilcox, Keith, Stephen, Andrew T.·2013·Journal of Consumer Research

Abstract

Online social networks are used by hundreds of millions of people every day, but little is known about their effect on behavior. In five experiments, the authors demonstrate that social network use enhances self-esteem in users who are focused on close friends (i.e., strong ties) while browsing their social network. This momentary increase in self-esteem reduces self-control, leading those focused on strong ties to display less self-control after browsing a social network. Additionally, the authors present evidence suggesting that greater social network use is associated with a higher body mass index and higher levels of credit card debt for individuals with strong ties to their social network. This research extends previous findings by demonstrating that social networks primarily enhance self-esteem for those focused on strong ties during social network use. Additionally, this research has implications for policy makers because self-control is an important mechanism for maintaining social order and well-being.

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Metadata

Authors
Wilcox, K., & Stephen, A. T.
Venue
Journal of Consumer Research
Published
2012-11-27
Volume
40
Issue
1
Pages
90-103
ISSN
  • 0093-5301 (ISSN-L)
  • 1537-5277
OpenAlex
W2110793747
Cited by
449
References
4
FWCI
72.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control. https://app.cochat.ai/papers/10.1086/668794
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Wilcox, K., & Stephen, A. T. (2013). Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control. Journal of Consumer Research. https://doi.org/10.1086/668794

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.