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Cited by 326

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Finding community through information and communication technology in disaster response

Shklovski, Irina, Palen, Leysia, Sutton, Jeannette·2008·Proceedings of the 2008 ACM conference on Computer supported cooperative work

Abstract

Disasters affect not only the welfare of individuals and family groups, but also the well-being of communities, and can serve as a catalyst for innovative uses of information and communication technology (ICT). In this paper, we present evidence of ICT use for re-orientation toward the community and for the production of public goods in the form of information dissemination during disasters. Results from this study of information seeking practices by members of the public during the October 2007 Southern California wildfires suggest that ICT use provides a means for communicating community-relevant information especially when members become geographically dispersed, leveraging and even building community resources in the process. In the presence of pervasive ICT, people are developing new practices for emergency response by using ICT to address problems that arise from information dearth and geographical dispersion. In doing so, they find community by reconnecting with others who share their concern for the locale threatened by the hazard.

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Metadata

Authors
Shklovski, I., Palen, L., & Sutton, J.
Venue
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Publisher
ACM
Published
2008-11-08
Pages
127-136
OpenAlex
W2139977864
Cited by
326
References
0
FWCI
25.59
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Finding community through information and communication technology in disaster response. https://app.cochat.ai/papers/10.1145/1460563.1460584
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Shklovski, I., Palen, L., & Sutton, J. (2008). Finding community through information and communication technology in disaster response. Proceedings of the 2008 ACM conference on Computer supported cooperative work. https://doi.org/10.1145/1460563.1460584

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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.