The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Social Network Site Affordances and Their Relationship to Social Capital Processes
Abstract
From both the literature and the everyday experiences, it seems clear that social media are enabling new patterns of communication, interaction, and affiliation; how, why, and to what ends social media use is related to social capital outcomes is the focus of this chapter. The chapter synthesizes the literature on social network sites (SNSs) and social capital in order to describe these dynamics. When studying social media, it is important to remember that communication processes as well as social capital outcomes may be influenced by the sites’ affordances. The chapter explores the relationship between SNSs and social capital by looking at how social capital exchanges are facilitated by the three elements of SNSs, as delineated by Ellison and Boyd: the profile, the articulated network, and the content stream. Social grooming practices are activities that build trust and create expectations of reciprocal attention among network members.
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Citations
Cites
The Ecological Approach to Visual Perception
Bornstein, M. H., & Gibson, J. J. (1980) · The Journal of Aesthetics and Art Criticism · doi:10.2307/429816 · Cited by 22,935
Putnam, R. (2000) · doi:10.1145/358916.361990 · Cited by 17,114
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
Self-citationThe Ecological Approach to Visual Perception: Classic Edition
Gibson, J. J. (2014) · doi:10.4324/9781315740218 · Cited by 12,132
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
Self-citationBurt, R. S. (1992) · doi:10.4159/9780674029095 · Cited by 9,093
Social Capital: A Theory of Social Structure and Action
Lin, N. (2001) · doi:10.1017/cbo9780511815447 · Cited by 4,535
Social capital, self-esteem, and use of online social network sites: A longitudinal analysis.
Steinfield, C., Ellison, N. B., & Lampe, C. (2008) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2008.07.002 · Cited by 1,919
Self-citationPersonality and motivations associated with Facebook use
Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.024 · Cited by 1,728
Social Network Sites as Networked Publics: Affordances, Dynamics, and Implications
(2010) · A Networked Self · doi:10.4324/9780203876527-8 · Cited by 1,724 · cited 1×
“Looking at social media use more broadly, danah boyd (2010) describes a similar set of affordances, including persistence, replicability (the ability to duplicate content), scalability (akin to Treem and Leonardi's [2012] visibility affordance), and searchability, noting that these affordances…”
Background
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Odgers, C. L., & Jensen, M. R. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13190 · Cited by 1,189
“…are evolving rapidly, from profiles that were originally static portraits of the owner to dynamic ‘toolkits’ that allow for interconnected streams of influence, conversations, and a mix of corporate, private, and public representations and uses of information and data (Ellison & Vitak, 2015).”
The Affordances of Social Media Platforms
Bucher, T., & Helmond, A. (2018) · The SAGE Handbook of Social Media · doi:10.4135/9781473984066.n14 · Cited by 1,083
Social Media Elements, Ecologies, and Effects
Bayer, J. B., Triệu, P., & Ellison, N. B. (2020) · Annual Review of Psychology · doi:10.1146/annurev-psych-010419-050944 · Cited by 410
Self-citationFrison, E., & Eggermont, S. (2020) · Communication Research · doi:10.1177/0093650215617506 · Cited by 239
DeVito, M. A., Birnholtz, J., Hancock, J. T., French, M., & Liu, S. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173694 · Cited by 244
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
'Too Gay for Facebook': Presenting LGBTQ+ Identity Throughout the Personal Social Media Ecosystem
DeVito, M. A., Walker, A. M., & Birnholtz, J. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274313 · Cited by 219
Belonging and loneliness in cyberspace: Impacts of social media on adolescents’ well-being
Smith, D., Leonis, T., & Anandavalli, S. (2021) · Australian Journal of Psychology · doi:10.1080/00049530.2021.1898914 · Cited by 211
A meta-analysis of social networking online and social capital
Liu, D., Ainsworth, S. E., & Baumeister, R. F. (2016) · Review of General Psychology · doi:10.1037/gpr0000091 · Cited by 205
Marengo, D., Montag, C., Sindermann, C., Elhai, J. D., & Settanni, M. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2020.101523 · Cited by 174
Experimentally manipulating social media abstinence: results of a four-week diary study
Hall, J. A., Xing, C., Ross, E. M., & Johnson, R. M. (2021) · Media Psychology · doi:10.1080/15213269.2019.1688171 · Cited by 120
Magis‐Weinberg, L., Gys, C. L., Berger, E. L., Domoff, S. E., & Dahl, R. E. (2021) · Journal of Research on Adolescence · doi:10.1111/jora.12666 · Cited by 79
Trekels, J., Ward, L. M., & Eggermont, S. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.12.020 · Cited by 56
The relationship between narcissism, intensity of Facebook use, Facebook flow and Facebook addiction
Brailovskaia, J., Bierhoff, H.-W., Rohmann, E., Raeder, F., & Margraf, J. (2020) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2020.100265 · Cited by 41
‘Do your own research': affordance activation and disinformation spread
Tripodi, F. B., Garcia, L. C., & Marwick, A. E. (2024) · Information, Communication & Society · doi:10.1080/1369118x.2023.2245869 · Cited by 31
Metadata
- Authors
- Ellison, N. B., & Vitak, J.
- Venue
- The Handbook of the Psychology of Communication Technology
- Publisher
- Wiley
- Published
- 2015-01-05
- Pages
- 203-227
- OpenAlex
- W1487170152
- Cited by
- 275
- References
- 20
- Type
- other
- Language
- en
- Open access
- closed
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