Getting acquainted through social network sites: Testing a model of online uncertainty reduction and social attraction
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The social characteristics of social networks make individuals more willing to share positive valence information related to themselves.
“The social characteristics of social networks make individuals more willing to share positive valence information related to themselves, because it is closely related to individual's social attraction, maintaining social relationships and obtaining social support [71][72][73].”
From What Influences Users’ Intention to Share Works in Designer-Driven User-Generated Content Communities? A Study Based on Self-Determination Theory (2023) · cites this paper as [71]
Cites
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SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383 · see citing works
Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions
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Computer-Mediated Communication: Impersonal, Interpersonal, and Hyperpersonal Interaction
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Information richness. A new approach to managerial behavior and organization design
Daft, R. L., & Lengel, R. H. (1983) · doi:10.21236/ada128980 · Cited by 2,263 · cited 1× · see citing works
“Most CMC theories, such as the reduced cues perspective (Kiesler, Siegel, & McGuire, 1984), media richness theory (Daft & Lengel, 1984), the social information processing perspective (Walther, 1992), the social identity model of deindividuation effects (Lea & Spears, 1995), and hyperpersonal theory…”
BackgroundThe value of reputation on eBay: A controlled experiment
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Individual and cultural influences on uncertainty reduction
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A Systematic Review of Social Presence: Definition, Antecedents, and Implications
Oh, C. S., Bailenson, J. N., & Welch, G. F. (2018) · Frontiers in Robotics and AI · doi:10.3389/frobt.2018.00114 · Cited by 1,032 · see citing works
“Subsequent studies have since shown that individuals adopt different strategies to convey socioemotional cues on platforms with relatively limited verbal and nonverbal cues (e.g., Ramirez et al., 2002; Antheunis et al., 2010).”
BackgroundGibbs, J. L., Ellison, N. B., & Lai, C.-H. (2011) · Communication Research · doi:10.1177/0093650210377091 · Cited by 390 · see citing works
Krasnova, H., Widjaja, T., Buxmann, P., Wenninger, H., & Benbasat, I. (2015) · Information Systems Research · doi:10.1287/isre.2015.0588 · Cited by 304 · see citing works
The effect of mobile messaging during a conversation on impression formation and interaction quality
Vanden Abeele, M. M. P., Antheunis, M. L., & Schouten, A. P. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.04.005 · Cited by 297 · see citing works
Self-citationThe effects of verbal versus photographic self-presentation on impression formation in Facebook
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Interactive Uncertainty Reduction Strategies and Verbal Affection in Computer-Mediated Communication
Antheunis, M. L., Schouten, A. P., Valkenburg, P. M., & Peter, J. (2012) · Communication Research · doi:10.1177/0093650211410420 · Cited by 103 · see citing works
Self-citationKoutamanis, M., Vossen, H. G. M., Peter, J., & Valkenburg, P. M. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.04.033 · Cited by 86 · see citing works
Self-citationMaruping, L. M., Daniel, S. L., & Cataldo, M. (2019) · MIS Quarterly · doi:10.25300/misq/2019/13928 · Cited by 64 · see citing works
Digital destigmatization: how exposure to networking profiles can reduce social stereotypes
Neubaum, G., Sobieraj, S., Raasch, J., & Riese, J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106461 · Cited by 25 · see citing works
Song, H., Wei, J., & Jiang, Q. (2023) · Systems · doi:10.3390/systems11110540 · Cited by 13 · see citing works
- Authors
- Antheunis, M. L., Valkenburg, P. M., & Peter, J.
- Affiliations
- University of Amsterdam (NL)
- Corresponding author
- Antheunis, Marjolijn L.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 26
- Issue
- 1
- Pages
- 100-109
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2148107570
- Cited by
- 250
- References
- 10
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 15 · 2023: 12 · 2022: 10 · 2021: 19 · 2020: 17 · 2019: 13 · 2018: 17 · 2017: 14 · 2016: 21 · 2015: 17 · 2014: 18 · 2013: 14 · 2012: 20
- FWCI
- 15.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Research portal (Tilburg University) (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Human-Computer Interaction › Digital Communication and Language
- Keywords
- social network sites, social attraction, perceived similarity, information valence, interactive strategies, passive strategy, active strategy
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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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