The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The Impact of Context Collapse and Privacy on Social Network Site Disclosures
Abstract
A large body of research argues that self-presentation strategies vary based on audience. But what happens when the technical features of Web sites enable—or even require—users to make personal disclosures to multiple audiences at once, as is often the case on social network sites (SNSs)? Do users apply a lowest common denominator approach, only making disclosures that are appropriate for all audience members? Do they employ technological tools to disaggregate audiences? When considering the resources that can be harnessed from SNS interactions, researchers suggest users need to engage with their network in order to reap benefits. The present study presents a model including network composition, disclosures, privacy-based strategies, and social capital. Results indicate that (1) audience size and diversity impacts disclosures and use of advanced privacy settings, (2) privacy concerns and privacy settings impact disclosures in varying ways; and (3) audience and disclosure characteristics predict bridging social capital.
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Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
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Brokerage and Closure: An Introduction to Social Capital
Burt, R. S. (2005) · doi:10.1093/oso/9780199249145.001.0001 · Cited by 2,203
Connection strategies: Social capital implications of Facebook-enabled communication practices
Ellison, N. B., Steinfield, C., & Lampe, C. (2011) · New Media & Society · doi:10.1177/1461444810385389 · Cited by 1,349 · cited 10×
“Ellison et al. (2011c) found that Facebook users who employed advanced privacy features reported more Friends on the site, which they suggested could be because users with larger networks feel compelled to organize Friends in some way.”
BackgroundResultInfluentialHogan, B. (2010) · Bulletin of Science, Technology & Society · doi:10.1177/0270467610385893 · Cited by 1,318 · cited 4×
“When faced with these barriers to segmenting content to different audiences, users may instead choose to restrict content-sharing to posts they are comfortable sharing with all audiences, a process Hogan (2010) has referred to as the lowest common denominator approach.”
BackgroundInfluentialSocial network activity and social well-being
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“This finding is consistent with previous research using simpler measures of network composition (Burke et al., 2010; Ellison et al., 2007, 2011a).”
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Cited by
Social media and citizen engagement: A meta-analytic review
Skoric, M. M., Zhu, Q., Goh, D., & Pang, N. (2016) · New Media & Society · doi:10.1177/1461444815616221 · Cited by 429
The Imagined Audience on Social Network Sites
Litt, E., & Hargittai, E. (2016) · Social Media + Society · doi:10.1177/2056305116633482 · Cited by 395
Giustini, D. M., Ali, S. M., Fraser, M., & Boulos, M. N. K. (2018) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v10i2.8270 · Cited by 271
Platforms, People, and Perception: Using Affordances to Understand Self-Presentation on Social Media
DeVito, M. A., Birnholtz, J., & Hancock, J. T. (2017) · Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing · doi:10.1145/2998181.2998192 · Cited by 227
Mechanisms linking social media use to adolescent mental health vulnerability
Orben, A., Meier, A., Dalgleish, T., & Blakemore, S.-J. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00307-y · Cited by 220
Metadata
- Authors
- Vitak, J.
- Venue
- Journal of Broadcasting & Electronic Media
- Publisher
- Informa UK Limited
- Published
- 2012-10
- Volume
- 56
- Issue
- 4
- Pages
- 451-470
- ISSN
- 0883-8151 (ISSN-L)
- 1550-6878
- OpenAlex
- W2159735299
- Cited by
- 636
- References
- 9
- FWCI
- 88.82
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
