A study of the impacts of positive/negative feedback on collective wisdom—case study on social bookmarking sites

Yuan-Chu Hwang (), Soe-Tsyr Yuan () and Jung-Hui Weng ()
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Yuan-Chu Hwang: National United University
Soe-Tsyr Yuan: National Chengchi University
Jung-Hui Weng: National Chengchi University

Information Systems Frontiers, 2011, vol. 13, issue 2, No 9, 265-279

Abstract: Abstract The core spirit for web 2.0 is collective wisdom (i.e., the contribution of users, and the creation of value through the interaction between users). Social bookmarking sites integrate all kind of contents on the Internet (especially those generated by users), and play the role of pivot between content production and consumption. This paper mainly investigates how the positive/negative feedbacks would impact the quality of the collective wisdom within the autonomous service environments (i.e., the social bookmarking sites). Our research findings show that the performance of social bookmarking sites has a tradeoff between collective filtering (i.e., results of positive feedbacks) and front page update frequency that should be carefully managed for ensuring the good quality in collective wisdom and service performance. Moreover, the negative feedback could also shape the collective wisdom and stabilize the system performance. The research findings are believed to provide some managerial guidelines for web 2.0 sites design and operations.

Keywords: Collective wisdom; Positive/negative impact; Social bookmarking site; Agent-based modeling and simulation (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10796-009-9186-8

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