Self-Presentation in Online Personals: The Role of Anticipated Future Interaction, Self-Disclosure, and Perceived Success in Internet Dating
Abstract
This study investigates self-disclosure in the novel context of online dating relationships. Using a national random sample of Match.com members ( N = 349), the authors tested a model of relational goals, self-disclosure, and perceived success in online dating. The authors’ findings provide support for social penetration theory and the social information processing and hyperpersonal perspectives as well as highlight the positive effect of anticipated future face-to-face interaction on online self-disclosure. The authors find that perceived online dating success is predicted by four dimensions of self-disclosure (honesty, amount, intent, and valence), although honesty has a negative effect. Furthermore, online dating experience is a strong predictor of perceived success in online dating. Additionally, the authors identify predictors of strategic success versus self-presentation success. This research extends existing theory on computer-mediated communication, self-disclosure, and relational success to the increasingly important arena of mixed-mode relationships, in which participants move from mediated to face-to-face communication.
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Users have the benefits of both asynchronous and real-time communication.
“Users have the benefits of both asynchronous and real-time communication (Gibbs et al., 2006).”
From Mobile Sexuality: Presentations of Young Filipinos in Dating Apps (2020) · cites this paper as Gibbs et al., 2006
Minimal cues present in the platform created adaptable users.
“The minimal cues that were present in the platform created adaptable users (Gibbs et al., 2006; Ramirez et al., 2015).”
From Mobile Sexuality: Presentations of Young Filipinos in Dating Apps (2020) · cites this paper as Gibbs et al., 2006
Some users mystified themselves by enhancing some qualities and deemphasizing the ones they felt were negative traits.
“Some also mystified their selves by enhancing some qualities and deemphasizing the ones they felt were negative traits (Ellison et al., 2006; Gibbs et al., 2006; Toma et al., 2008; Toma & Carlson, 2012).”
From Mobile Sexuality: Presentations of Young Filipinos in Dating Apps (2020) · cites this paper as Gibbs et al., 2006
Individuals who misrepresented themselves online would not reveal their deceptive ways easily.
“I expected such a scenario as previous findings revealed that individuals who misrepresented themselves online would not reveal their deceptive ways that easily (DePaulo, Kashy, Kirkendol, Wyer, & Epstein, 1996, as cited in Toma, Hancock, & Ellison, 2008; Gibbs et al., 2006).”
From Mobile Sexuality: Presentations of Young Filipinos in Dating Apps (2020) · cites this paper as Gibbs et al., 2006
Openness that online dating entails causes improper, unethical, and illegal online acts such as bullying, stalking, and identity theft.
“I agree with the warnings that were written by scholars who advised users about the threats that the openness that online dating entails (Fiore, 2008; Gibbs et al., 2006) as this causes improper, unethical, and illegal online acts such as bullying, stalking, and identity theft.”
From Mobile Sexuality: Presentations of Young Filipinos in Dating Apps (2020) · cites this paper as Gibbs et al., 2006
Users of UGM create their own content for self-expression.
“Thirdly, many studies claim that users of UGM create their own content for selfexpression (e.g. [48] ) [49] [50]).”
From Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage (2020) · cites this paper as [48]
This study reinforces the framework of offline modalities.
“Indeed, this study reinforces the framework of offline modalities (e.g., Ellison et al., 2006; 2011; Gibbs et al., 2006).”
From When guests trust hosts for their words: Host description and trust in sharing economy (2018) · cites this paper as Gibbs et al., 2006
The identification of these two patterns implies opportunities to assess if one is more effective in bringing about consumer trust than the other.
“the identification of these two patterns implies opportunities to assess if one is more effective in bringing about consumer trust than the other.”
From When guests trust hosts for their words: Host description and trust in sharing economy (2018) · cites this paper as Gibbs et al., 2006
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- Authors
- Gibbs, J. L., Ellison, N. B., & Heino, R. D.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Michigan State University (US)
- Georgetown University (US)
- ORCID
- Ellison, Nicole B.
- Venue
- Communication Research
- Publisher
- SAGE Publications
- Published
- 2006-04
- Volume
- 33
- Issue
- 2
- Pages
- 152-177
- ISSN
- 0093-6502 (ISSN-L)
- 1552-3810
- OpenAlex
- W1969001298
- Cited by
- 701
- References
- 81
- Citations by year
- 2026: 28 · 2025: 38 · 2024: 19 · 2023: 31 · 2022: 36 · 2021: 43 · 2020: 40 · 2019: 32 · 2018: 34 · 2017: 28 · 2016: 51 · 2015: 47 · 2014: 42 · 2013: 45 · 2012: 44
- FWCI
- 29.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communication Research (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Physical Sciences › Computer Science › Human-Computer Interaction › Digital Communication and Language
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- self-disclosure, online dating, self-presentation, social penetration theory, social information processing, relational goals, face-to-face interaction, computer-mediated communication
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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