| Towards a model of understanding social search |
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Computer Supported Cooperative Work
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Proceedings of the ACM 2008 conference on Computer supported cooperative work
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San Diego, CA, USA
SESSION: Social sensemaking
table of contents
Pages 485-494
Year of Publication: 2008
ISBN:978-1-60558-007-4
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Authors
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Brynn M. Evans
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University of California, San Diego, San Diego, CA, USA
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Ed H. Chi
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Palo Alto Research Center, Palo Alto, CA, USA
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Downloads (6 Weeks): 26, Downloads (12 Months): 374, Citation Count: 4
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ABSTRACT
Search engine researchers typically depict search as the solitary activity of an individual searcher. In contrast, results from our critical-incident survey of 150 users on Amazon's Mechanical Turk service suggest that social interactions play an important role throughout the search process. Our main contribution is that we have integrated models from previous work in sensemaking and information seeking behavior to present a canonical social model of user activities before, during, and after search, suggesting where in the search process both explicitly and implicitly shared information may be valuable to individual searchers.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 4
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Elizeu Santos-Neto , David Condon , Nazareno Andrade , Adriana Iamnitchi , Matei Ripeanu, Individual and social behavior in tagging systems, Proceedings of the 20th ACM conference on Hypertext and hypermedia, June 29-July 01, 2009, Torino, Italy
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Yvonne Kammerer , Rowan Nairn , Peter Pirolli , Ed H. Chi, Signpost from the masses: learning effects in an exploratory social tag search browser, Proceedings of the 27th international conference on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
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