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Text analysis as a tool for analyzing conversation in online support groups
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Source Conference on Human Factors in Computing Systems archive
CHI '04 extended abstracts on Human factors in computing systems table of contents
Vienna, Austria
SESSION: Late breaking result papers table of contents
Pages: 1485 - 1488  
Year of Publication: 2004
ISBN:1-58113-703-6
Authors
Adam D. I. Kramer  Carnegie Mellon University, Pittsburgh, PA
Susan R. Fussell  Carnegie Mellon University, Pittsburgh, PA
Leslie D. Setlock  Carnegie Mellon University, Pittsburgh, PA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 11,   Downloads (12 Months): 89,   Citation Count: 5
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ABSTRACT

In this paper we describe a software tool that allows investigators to make comparisons across different online forums and media by analyzing word counts in user-specified categories. Using a large sample of messages from a bipolar support chatroom, we demonstrate how this tool can be used to characterize the nature of the discourse and compare it to other media, to analyze relationships among different word categories, and to characterize changes in visitors' discourse over time. Future plans for adding functionality to the software and using external data for additional validation are also discussed.


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
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4
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Fussell, S. R., & Setlock, L. D. (under review). Informal communication in an online volunteer community: Implications for supporting virtual relationships.
 
6
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13
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Collaborative Colleagues:
Adam D. I. Kramer: colleagues
Susan R. Fussell: colleagues
Leslie D. Setlock: colleagues