The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sociability and usability in online communities: Determining and measuring success
Abstract
Little attention has focused so far on evaluating the success of online communities. This paper begins to identify some key determinants of sociability and usability that help to determine their success. Determinants of sociability include obvious measures such as the number of participants in a community, the number of messages per unit of time, members' satisfaction, and some less obvious measures such as amount of reciprocity, the number of on-topic messages, trustworthiness and several others. Measures of usability include numbers of errors, productivity, user satisfaction and others. The list is not exhaustive but it is intended to provide a starting point for research on this important topic that will lead to develop of metrics. To avoid creating false impressions it is advisable to use several measures and to triangulate with qualitative data, particularly from ethnographic studies.
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Cites
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
(2024) · doi:10.1145/3613904 · Cited by 896
Socially translucent systems: social proxies, persistent conversation, and the design of “babble”
Erickson, T., Smith, D. N., Kellogg, W. A., Laff, M., Richards, J. T., & Bradner, E. (1999) · Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit - CHI '99 · doi:10.1145/302979.302997 · Cited by 335
Research on Computer Supported Cooperative Work
Olson, G. M., & Olson, J. S. (1997) · Handbook of Human-Computer Interaction · doi:10.1016/b978-044481862-1.50125-4 · Cited by 75
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A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage
Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.11.001 · Cited by 1,011
Walther, J. B. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2006.05.002 · Cited by 915
Demographic differences in perceived benefits from gamification
Koivisto, J., & Hamari, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.007 · Cited by 841
“Working out for likes”: An empirical study on social influence in exercise gamification
Hamari, J., & Koivisto, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.018 · Cited by 473
Seeking Support on Facebook: A Content Analysis of Breast Cancer Groups
Bender, J. L., Jimenez-Marroquin, M.-C., & Jadad, A. R. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1560 · Cited by 438
Metadata
- Authors
- Preece, J.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2001-01
- Volume
- 20
- Issue
- 5
- Pages
- 347-356
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2127557844
- Cited by
- 862
- References
- 3
- FWCI
- 23.05
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
