首页> 外文期刊>Technological forecasting and social change >How to channel knowledge coproduction behavior in an online community: Combining machine learning and narrative analysis
【24h】

How to channel knowledge coproduction behavior in an online community: Combining machine learning and narrative analysis

机译:如何在在线社区中引导知识共同生产行为:将机器学习与叙事分析相结合

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

With ambiguous role definitions and without traditional organizational control or coordination mechanisms, how could online community channel knowledge coproduction behaviors among participants with heterogeneity roles? By using a novel theory-building method combining machine learning and narrative analysis, we inves-tigate the heterogeneity of participant roles and knowledge coproduction channeling behaviors in a Chinese self -organizing online community-Miui.com, launched by Xiaomi Inc. Using latent Dirichlet allocation topic modeling analysis and a complementary qualitative analysis of community participants' online forum posts, we initially identify three types of participant role in the community: leaders, supporters, and integrators, and find that (a) conceptualizing narrative practice is adopted to promote knowledge collaboration for leaders; (b) serializing and anthologizing narrative practices are used to promote knowledge collaboration for supporters; and (c) anthologizing narrative practice is adopted to promote knowledge collaboration for integrators. Our study advances the theoretical understanding of the knowledge coproduction and value creation in online communities.
机译:在角色定义不明确且没有传统组织控制或协调机制的情况下,在线社区如何在具有异质性角色的参与者之间引导知识共生产行为?通过使用一种结合机器学习和叙事分析的新理论构建方法,我们研究了小米公司推出的中国自组织在线 community-Miui.com 中参与者角色和知识共同生产引导行为的异质性,利用潜在的狄利克雷分配主题建模分析和对社区参与者在线论坛帖子的补充定性分析,我们初步确定了社区中三种类型的参与者角色: 领导者、支持者和整合者,并发现 (a) 采用概念化叙事实践来促进领导者的知识协作;(b) 采用序列化和选集化叙事实践来促进支持者的知识合作;(c)采用选集化叙事实践,促进整合者的知识合作。我们的研究推进了对在线社区中知识共同生产和价值创造的理论理解。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号