Attitudes toward online social connection and self-disclosure as predictors of Facebook communication and relational closeness
Abstract
This investigation tested a theoretical model of communication behavior with specific Facebook friends, such that attitudes toward (a) online self-disclosure, and (b) online social connection, predict Facebook communication frequency and, in turn, relational closeness. Participants included both undergraduates and older adults. Results generally supported the model, with the interaction effect between self-disclosure and social connection directly predicting Facebook communication and indirectly predicting relational closeness. For both dependent variables, online social connection was a positive predictor at low and moderate levels of online self-disclosure, but high levels reduced the association to nonsignificance. One implication of these results was that high-warrant information may discourage those with social anxiety from social network site communication.
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Individuals with higher need to belong may spend more time on SNSs and develop addictive tendencies.
“Hence, individuals with such higher need to belong may spend more time on SNSs and develop addictive tendencies (Gangadharbatla, 2008;Ledbetter et al., 2011;Pelling & White, 2009).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Ledbetter et al., 2011
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- Authors
- Ledbetter, A. M., Mazer, J. P., DeGroot, J. M., Meyer, K. R., Mao, Y., & Swafford, B.
- Affiliations
- Texas Christian University (US)
- Clemson University (US)
- Southern Illinois University Edwardsville (US)
- Illinois State University (US)
- University of Alberta (CA)
- Ohio University (US)
- Venue
- Communication Research
- Publisher
- SAGE Publications
- Published
- 2010-09-10
- Volume
- 38
- Issue
- 1
- Pages
- 27-53
- ISSN
- 0093-6502 (ISSN-L)
- 1552-3810
- OpenAlex
- W2136937406
- Cited by
- 346
- References
- 92
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 21 · 2023: 11 · 2022: 33 · 2021: 20 · 2020: 18 · 2019: 20 · 2018: 20 · 2017: 23 · 2016: 20 · 2015: 41 · 2014: 47 · 2013: 30 · 2012: 21
- FWCI
- 59.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communication Research (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- Facebook communication, online self-disclosure, online relationships, relationship closeness, communication frequency, social network sites, social anxiety, older adults, undergraduate students
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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