Dynamics of Peer Production of Knowledge in Online Social Q&A Communities: A Life-Cycle Perspective of Successful and Failed Cases

Hengyi Fu
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Abstract

Online peer production communities, such as Wikipedia, Yahoo Answers, and Stack Overflow, not only generate knowledge resources with low cost access, but also have tremendous potential to complement both online and offline movement of societies. As peer production communities flourished, merely describing successful cases has become less useful. Instead, scholars must identify the dynamics, structures, and conditions that contribute to or impede that success, including how communities change, what makes some communities succeed while others fail, and how and when to intervene successfully. In this dissertation project I combine Activity Theory, computational techniques, and qualitative and quantitative methods to understand the differences of dynamics, structures, and conditions of two social Q&A communities that produced contrasting results within the same context, based on the community life cycle.
在线社会问答社区中同伴知识生产的动态:成功与失败案例的生命周期视角
在线对等生产社区,如Wikipedia、Yahoo Answers和Stack Overflow,不仅产生低成本访问的知识资源,而且具有补充社会在线和离线运动的巨大潜力。随着对等生产社区的蓬勃发展,仅仅描述成功案例已经变得不那么有用了。相反,学者们必须确定促进或阻碍这种成功的动力、结构和条件,包括社区如何变化,是什么使一些社区成功而另一些社区失败,以及如何以及何时成功地进行干预。在这个论文项目中,我结合了活动理论、计算技术以及定性和定量方法来理解两个社会问答社区的动态、结构和条件的差异,这些社区在基于社区生命周期的相同背景下产生了截然不同的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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