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Cited by 416

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Strangers and friends: collaborative play in world of warcraft

Nardi, Bonnie, Harris, Justin·2006·Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
DOI 10.1145/1180875.1180898
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Abstract

We analyze collaborative play in an online video game, World of Warcraft, the most popular personal computer game in the United States, with significant markets in Asia and Europe. Based on an immersive ethnographic study, we describe how the social organization of the game and player culture affect players' enjoyment and learning of the game. We discovered that play is characterized by a multiplicity of collaborations from brief informal encounters to highly organized play in structured groups. The variety of collaborations makes the game more fun and provides rich learning opportunities. We contrast these varied collaborations, including those with strangers, to the gold standard of Gemeinschaft-like communities of close relations in tightknit groups. We suggest populations for whom similar games could be designed.

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Metadata

Authors
Nardi, B., & Harris, J.
Venue
Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Publisher
ACM
Published
2006-11-04
Pages
149-158
DOI
10.1145/1180875.1180898
OpenAlex
W1983688148
Cited by
416
References
31
FWCI
67.00
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Strangers and friends: collaborative play in world of warcraft. https://app.cochat.ai/papers/10.1145/1180875.1180898
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Nardi, B., & Harris, J. (2006). Strangers and friends: collaborative play in world of warcraft. Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work. https://doi.org/10.1145/1180875.1180898

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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.