| Why do tagging systems work? |
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Conference on Human Factors in Computing Systems
archive
CHI '06 extended abstracts on Human factors in computing systems
table of contents
Montréal, Québec, Canada
PANEL SESSION: Panels
table of contents
Pages: 36 - 39
Year of Publication: 2006
ISBN:1-59593-298-4
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Authors
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George W. Furnas
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University of Michigan, Ann Arbor, MI
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Caterina Fake
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Yahoo! Inc., Sunnyvale, CA
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Luis von Ahn
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Carnegie Mellon University, Pittsburgh, PA
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Joshua Schachter
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del.icio.us, Inc., San Francisco, CA
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Scott Golder
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HP Laboratories, Palo Alto, CA
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Kevin Fox
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Google, Inc., Mountain View, CA
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Marc Davis
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Yahoo! Research Berkeley and UC Berkeley School of Information Management Systems (SIMS), Berkeley, CA
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Cameron Marlow
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Yahoo! Research Berkeley, Berkeley, CA
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Mor Naaman
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Yahoo! Research Berkeley, Berkeley, CA
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| Bibliometrics |
Downloads (6 Weeks): 32, Downloads (12 Months): 380, Citation Count: 9
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ABSTRACT
The panel will explore the relevance of the emerging tagging systems (Flickr, Del.icio.us, RawSugar and more). Why do they seem to work? What kinds of incentives are required for users to participate? Will tagging survive and scale to mass adoption? What are the behavioral, economic, and social models that underlie each tagging system? What are the dynamics of those systems, and how are they derived from the specific application's design and affordances?.We will demand answers to these questions and others from some of the pioneering practitioners and academics in the field. Bring your wireless laptop to participate in a live tagging experiment! The experiment results will be shown and discussed at the end of the panel. To add to the fun, parts of the discussion will be motivated by short video segments.
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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Delicious, http://del.icio.us
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Flickr, http://www.flickr.com
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Golder, S., and Huberman, B. A. The Structure of Collaborative Tagging Systems. HP Labs technical report, 2005.
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Shirkey, C. Ontology is Overrated: Categories, Links, and Tags. http://shirky.com/writings/ontology_overrated.html
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Merholz, P. Clay Shirky's Viewpoints are Overrated. http://www.peterme.com/archives/000558.html
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Memepool, http://memepool.com
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CITED BY 9
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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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