The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Applying Common Identity and Bond Theory to Design of Online Communities
Open accessAbstract
Online communities depend upon the commitment and voluntary participation of their members. Community design — site navigation, community structure and features, and organizational policies — is critical in this regard. Community design affects how people can interact, the information they receive about one another and the community, and how they can participate in community activities. We argue that the constraints and opportunities inherent in online community design influence how people become attached to the community and whether they are willing to expend effort on its behalf. We examine two theories of group attachment and link these theories with design decisions for online communities. Common identity theory makes predictions about the causes and consequences of people's attachment to the group as a whole. Common bond theory makes predictions about the causes and consequences of people's attachment to individual group members. We review causes of common identity and common bond, and show how they result in different kinds of attachment and group outcomes. We then show how design decisions, such as those focused on recruiting newcomers versus retaining existing members, constraining or promoting off-topic discussion, and limiting group size or allowing uncontrolled growth, can lead to common identity or interpersonal bonds among community members, and consequently to different levels and forms of community participation by those so motivated.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Putnam, R. (2000) · doi:10.1145/358916.361990 · Cited by 17,114
Attitudinal Effects of Mere Exposure
Zajonc, R. B. (1968) · Journal of Personality and Social Psychology · doi:10.1037/h0025848 · Cited by 6,745
An introduction to latent semantic analysis
Landauer, T. K., Foltz, P. W., & Laham, D. (1998) · Discourse Processes · doi:10.1080/01638539809545028 · Cited by 4,880
Who is this "We"? Levels of collective identity and self representations.
Brewer, M. B., & Gardner, W. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.71.1.83 · Cited by 3,401 · cited 1×
“Group Robustness A person’s feelings of common identity, and the role of the group in his or her life, changes with the situation (Ashforth and Johnson 2001; Brewer 2001; Brewer and Gardner 1996).”
BackgroundSocial loafing: a meta-analytic review and theoretical integration.
Karau, S. J., & Williams, K. D. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.65.4.681 · Cited by 2,196
The top five reasons for lurking: improving community experiences for everyone
Preece, J., Nonnecke, B., & Andrews, D. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2003.10.015 · Cited by 1,038
Tanis, M., & Postmes, T. (2005) · European Journal of Social Psychology · doi:10.1002/ejsp.256 · Cited by 431
Cited by
Dwivedi, Y. K., Hughes, L., Kar, A. K., Baabdullah, A. M., Grover, P., Abbas, R., Andreini, D., Abumoghli, I., Barlette, Y., Bunker, D., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102456 · Cited by 761
Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia
Zhang, X. (., & Zhu, F. (2011) · American Economic Review · doi:10.1257/aer.101.4.1601 · Cited by 499
Exploring short-form video application addiction: socio-technical and attachment perspectives
Zhang, X., Wu, Y., & Liu, S. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.101243 · Cited by 469
Advertising in social media: a review of empirical evidence
Knoll, J. (2016) · International Journal of Advertising · doi:10.1080/02650487.2015.1021898 · Cited by 362
Butler, B., Joyce, E., & Pike, J. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357227 · Cited by 235
Yang, S.-B., Lee, K., Lee, H., & Koo, C. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.10.016 · Cited by 222
Value-Sensitive Algorithm Design: Method, Case Study, and Lessons
Zhu, H., Yu, B., Halfaker, A., & Terveen, L. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274463 · Cited by 220
Wang, X., Zhao, K., & Street, N. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6834 · Cited by 182
Antecedents of an experienced sense of virtual community
Tonteri, L., Kosonen, M., Ellonen, H.-K., & Tarkiainen, A. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.06.018 · Cited by 154
Kim, M. J., Lee, C.-K., & Bonn, M. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.04.006 · Cited by 120
De Wolf, R., Willaert, K., & Pierson, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.010 · Cited by 113
What’s coming next? Epistemic curiosity and lurking behavior in online communities
Schneider, A., von Krogh, G., & Jäger, P. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.09.008 · Cited by 106
Working Together Apart: Collaboration over the Internet
Olson, J. S., & Olson, G. M. (2014) · Synthesis Lectures on Human-Centered Informatics · doi:10.2200/s00542ed1v01y201310hci020 · Cited by 95
Designing interactive systems through a game lens: An ethnographic approach
Rapp, A. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.048 · Cited by 94
The Sustainability of Polycentric Information Commons1
Mindel, V., Mathiassen, L., & Rai, A. (2018) · MIS Quarterly · doi:10.25300/misq/2018/14015 · Cited by 90
When Do People Trust Their Social Groups?
Ma, X., Cheng, J., Iyer, S., & Naaman, M. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300297 · Cited by 41
Assessing the mobilization potential of environmental advocacy communication
Gulliver, R., Fielding, K. S., & Louis, W. R. (2021) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2021.101563 · Cited by 28
Oguine, O. C., Park, J. K., Akter, M., Olesk, J., Alluhidan, A., Wisniewski, P., & Badillo-Urquiola, K. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3710995 · Cited by 8
Metadata
- Authors
- Ren, Y., Kraut, R., & Kiesler, S.
- Venue
- Organization Studies
- Publisher
- SAGE Publications
- Published
- 2007-03
- Volume
- 28
- Issue
- 3
- Pages
- 377-408
- ISSN
- 0170-8406 (ISSN-L)
- 1741-3044
- OpenAlex
- W2159508072
- Cited by
- 718
- References
- 7
- FWCI
- 101.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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 ›
Are you an author, or do you see a problem with this page? Request a review
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.