| How peer photos influence member participation in online communities |
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Conference on Human Factors in Computing Systems
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CHI '05 extended abstracts on Human factors in computing systems
table of contents
Portland, OR, USA
SESSION: Late breaking results: short papers
table of contents
Pages: 1525 - 1528
Year of Publication: 2005
ISBN:1-59593-002-7
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Downloads (6 Weeks): 13, Downloads (12 Months): 66, Citation Count: 2
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ABSTRACT
Online communities (OLCs) are gatherings of like-minded people, brought together in cyberspace by shared interests. Creating such communities is not a big challenge; sustaining members' participation is. In this paper, we describe a technique for presenting members' photos and evaluate how it affects member participation in the community. We compare three different policies for presenting peer photos on the home page of the web site. Our results show that explicit requests in the form of simple and short messages on the home page of a community can induce participation. We show that we were able to motivate members to (a) log into the system to see photos of fellow members, and (b) upload their personal photos.
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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Constant, D., Sproull, L. and Kiesler, S. The Kindness of Strangers: On the Usefulness of Electronic Weak Ties for Technical Advice. In S. Kiesler (ed.), Culture of the Internet, Lawrence Erlbaum Associates, New Jersey 1997, 303--322.
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Pamela J. Ludford , Dan Cosley , Dan Frankowski , Loren Terveen, Think different: increasing online community participation using uniqueness and group dissimilarity, Proceedings of the SIGCHI conference on Human factors in computing systems, p.631-638, April 24-29, 2004, Vienna, Austria
[doi> 10.1145/985692.985772]
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McCallum, A.K. "Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering." http://www.cs.cmu.edu/~mccallum/bow/. 1996.
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Stanford Poynter Project. Front Page Entry Points. http://www.poynterextra.org/et/i.htm.
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