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Cited by 378

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Getting the Seats of Your Pants Dirty: Strategies for Ethnographic Research on Virtual Communities

Paccagnella, Luciano·2006·Journal of Computer-Mediated Communication

Abstract

The study of social worlds built by people on computer networks challenges the classical dimensions of sociological research. CMC scholars are prompted to exploit the possibilities offered by new, powerful, and flexible analytic tools for inexpensively collecting, organizing, and exploring digital data. Such tools could be used within a Weberian perspective, to aid in systematic examination of logs and messages taken from the actual life of a virtual community. A proposal can then be made for a longitudinal strategy of research which systematically compares specific aspects of virtual communities over different periods of time and different socio-geographical contexts. The article summarizes a case study on an Italian computer conference, and concludes with a short outline of the new graphical CMC environments and their consequences for the rise of a multimedia cyber-anthropology.

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Crossref · 10.1111/j.1083-6101.1997.tb00065.x

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Metadata

Authors
Paccagnella, L.
Venue
Journal of Computer-Mediated Communication
Published
2006-06-23
Volume
3
Issue
1
Pages
0-0
ISSN
1083-6101 (ISSN-L)
OpenAlex
W1971446071
Cited by
378
References
3
FWCI
91.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Getting the Seats of Your Pants Dirty: Strategies for Ethnographic Research on Virtual Communities. https://app.cochat.ai/papers/10.1111/j.1083-6101.1997.tb00065.x
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Paccagnella, L. (2006). Getting the Seats of Your Pants Dirty: Strategies for Ethnographic Research on Virtual Communities. Journal of Computer-Mediated Communication. https://doi.org/10.1111/j.1083-6101.1997.tb00065.x

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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.