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

被引:0
|
作者
Yuan-Chu Hwang
Soe-Tsyr Yuan
Jung-Hui Weng
机构
[1] National United University,Department of Information Management
[2] National Chengchi University,Department of Management Information Systems
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关键词
Collective wisdom; Positive/negative impact; Social bookmarking site; Agent-based modeling and simulation;
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学科分类号
摘要
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.
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页码:265 / 279
页数:14
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