Why do tagging systems work?

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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

Authors

George W. Furnas	University of Michigan, Ann Arbor, MI
Caterina Fake	Yahoo! Inc., Sunnyvale, CA
Luis von Ahn	Carnegie Mellon University, Pittsburgh, PA
Joshua Schachter	del.icio.us, Inc., San Francisco, CA
Scott Golder	HP Laboratories, Palo Alto, CA
Kevin Fox	Google, Inc., Mountain View, CA
Marc Davis	Yahoo! Research Berkeley and UC Berkeley School of Information Management Systems (SIMS), Berkeley, CA
Cameron Marlow	Yahoo! Research Berkeley, Berkeley, CA
Mor Naaman	Yahoo! Research Berkeley, Berkeley, CA

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 48, Downloads (12 Months): 487, Citation Count: 3

Additional Information:

abstract references cited by index terms collaborative colleagues

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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.

	1	Delicious, http://del.icio.us
	2	Flickr, http://www.flickr.com
	3	G. W. Furnas , T. K. Landauer , L. M. Gomez , S. T. Dumais, The vocabulary problem in human-system communication, Communications of the ACM, v.30 n.11, p.964-971, Nov. 1987 [doi>10.1145/32206.32212]
	4	Golder, S., and Huberman, B. A. The Structure of Collaborative Tagging Systems. HP Labs technical report, 2005.
	5	Shirkey, C. Ontology is Overrated: Categories, Links, and Tags. http://shirky.com/writings/ontology_overrated.html
	6	Merholz, P. Clay Shirky's Viewpoints are Overrated. http://www.peterme.com/archives/000558.html
	7	Luis von Ahn , Laura Dabbish, Labeling images with a computer game, Proceedings of the SIGCHI conference on Human factors in computing systems, p.319-326, April 24-29, 2004, Vienna, Austria [doi>10.1145/985692.985733]
	8	Memepool, http://memepool.com

CITED BY 4

	Ed H. Chi , Todd Mytkowicz, Understanding the efficiency of social tagging systems using information theory, Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, June 19-21, 2008, Pittsburgh, PA, USA
	Benjamin Markines , Heather Roinestad , Filippo Menczer, Efficient assembly of social semantic networks, Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, June 19-21, 2008, Pittsburgh, PA, USA
	Oge Marques , Mathias Lux, An exploratory study on joint analysis of visual classification in narrow domains and the discriminative power of tags, Proceeding of the 2nd ACM workshop on Multimedia semantics, October 31-31, 2008, Vancouver, British Columbia, Canada
	Shaoke Zhang , Umer Farooq , John M. Carroll, Enhancing information scent: identifying and recommending quality tags, Proceedings of the ACM 2009 international conference on Supporting group work, May 10-13, 2009, Sanibel Island, Florida, USA