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Cited by 320

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Using social psychology to motivate contributions to online communities

Beenen, Gerard, Ling, Kimberly, Wang, Xiaoqing, Chang, Klarissa, Frankowski, Dan, Resnick, Paul, Kraut, Robert E.·2004·Proceedings of the 2004 ACM conference on Computer supported cooperative work

Abstract

Under-contribution is a problem for many online communities. Social psychology theories of social loafing and goal-setting can provide mid-level design principles to address this problem. We tested the design principles in two field experiments. In one, members of an online movie recommender community were reminded of the uniqueness of their contributions and the benefits that follow from them. In the second, they were given a range of individual or group goals for contribution. As predicted by theory, individuals contributed when they were reminded of their uniqueness and when they were given specific and challenging goals, but other predictions were not borne out. The paper ends with suggestions and challenges for mining social science theories as well as implications for design.

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Metadata

Authors
Beenen, G., Ling, K., Wang, X., Chang, K., Frankowski, D., Resnick, P., & Kraut, R. E.
Venue
Proceedings of the 2004 ACM conference on Computer supported cooperative work
Publisher
ACM
Published
2004-11-06
Pages
212-221
OpenAlex
W2077802345
Cited by
320
References
77
FWCI
33.83
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using social psychology to motivate contributions to online communities. https://app.cochat.ai/papers/10.1145/1031607.1031642
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Beenen, G., Ling, K., Wang, X., Chang, K., Frankowski, D., Resnick, P., & Kraut, R. E. (2004). Using social psychology to motivate contributions to online communities. Proceedings of the 2004 ACM conference on Computer supported cooperative work. https://doi.org/10.1145/1031607.1031642

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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.