| Empirical evidence for information overload in mass interaction |
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Conference on Human Factors in Computing Systems
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CHI '01 extended abstracts on Human factors in computing systems
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Seattle, Washington
POSTER SESSION: Interactive posters: internet
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Pages: 177 - 178
Year of Publication: 2001
ISBN:1-58113-340-5
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Downloads (6 Weeks): 8, Downloads (12 Months): 42, Citation Count: 1
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ABSTRACT
'Virtual publics' are computer-mediated discourse spaces created by using various technologies including email, the USENET, web based bulletin boards, IRC, MUDS, etc. [3]. This paper outlines ongoing field research into the stress zones or boundaries to interactive virtual public discourse produced by information overload. It describes initial findings, based on an examination of 2.65 million USENET messages, which suggest that information overload impacts on discourse structure. Findings include a higher proportional user turnover, and shorter messages in relation to group size. The research in progress addresses issues associated with group level usability of communication technologies.
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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Jones Q., & Rafaeli. S., "Time to Split, Virtually: 'Discourse Architecture' and 'Community Building' as means to Creating Vibrant Virtual Publics". Electronic Markets, The International Journal of Electronic Commerce and Business Media. Vol. 10, No. 4, 2000, Routledge, London.
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Rafaeli, S., and Sudweeks, F. Networked interactivity. J.C.M.C. 2, 4, 1997, http://www.ascusc.org/jcmc/vol2/issue4/rafaeli.sudweeks.html
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Steve Whittaker , Loren Terveen , Will Hill , Lynn Cherny, The dynamics of mass interaction, Proceedings of the 1998 ACM conference on Computer supported cooperative work, p.257-264, November 14-18, 1998, Seattle, Washington, United States
[doi> 10.1145/289444.289500]
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CITED BY
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Lars Backstrom , Ravi Kumar , Cameron Marlow , Jasmine Novak , Andrew Tomkins, Preferential behavior in online groups, Proceedings of the international conference on Web search and web data mining, February 11-12, 2008, Palo Alto, California, USA
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