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INFORMATION SCIENCE SEMINAR Posters, Lurkers, and in Between: A multidimensional model of online community participation patterns
Speakers: Gilly Leshed, PhD Student, Information Science, Cornell University Date: Wednesday, March 30, 2005 4:15-5:15p Location: 301 College Avenue, Seminar Room
In a special series, the next two IS Seminars will feature Information Science’s first class of graduate students, Jofish Kaye, Gilly Leshed, Lori Lorigo, and Sadat Shami. They will be presenting their recent research on a wide variety of Information Science topics, from the notion of context in knowledge networks to issues of anonymity, affect and collaboration in online communication. Each student will present their work for 20 minutes and take questions for 10 minutes. Abstract - Existing research divides participants of online communities into two separate groups: posters and lurkers. The current study expands the concept of participation patterns in online communities, proposing two continuous dimensions: intensity, indicating the frequency of activities performed by participants, and publicity, representing the degree of exposure in
participants' activities. We examined an intra-corporate online community with discussion groups on general non-work-related topics. In October 2003 the management decided to turn participation in the discussion groups from anonymous to identifiable. Several methodologies were applied to analyze the effects of the anonymity removal: calculating posting and visiting frequencies before and after the change; analyzing threads' discourses, and; open-ended questionnaires to community participants and key informants. The findings suggest that the change had a crucial impact on shaping participation patterns in the community, both in the publicity and intensity dimensions. Additional effects refer to workers attitudes: while few participants supported the change, others deciphered the act as a means to restrain access to the community. The complex effect of the change would not have been possible to be depicted with a simple binary model, demonstrating the value of a richer behavior representation.
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