Knowledge sharing discourse types used by key actors in online affinity spaces

概念化 空格(标点符号) 知识共享 钥匙(锁) 独创性 价值(数学) 知识管理 讲故事 多样性(控制论) 社会学 计算机科学 定性研究 叙述的 社会科学 语言学 人工智能 哲学 机器学习 操作系统 计算机安全
作者
Priya Sharma,Qiyuan Li,Susan M. Land
出处
期刊:Information and learning sciences [Emerald (MCB UP)]
卷期号:122 (9/10): 671-687 被引量:5
标识
DOI:10.1108/ils-09-2020-0211
摘要

Purpose The growth of online social network sites and their conceptualization as affinity spaces makes them well suited for exploring how individuals share knowledge and practices around specific interests or affinities. The purpose of this study is to extend what is known about highly active/key actors in online affinity spaces, especially the ways in which they sustain and contribute to knowledge sharing. Design/methodology/approach This study analyzed 514 discussion posts gathered from an online affinity space on disease management. This study used a variety of methods to answer the research questions: the authors used discourse analyses to examine the conversations in the online affinity space, social network analyses to identify the structure of participation in the space and association rule mining and sentiment analysis to identify co-occurrence of discourse codes and sentiment of the discussions. Findings The results indicate that the quality and type of discourse varies considerably between key and other actors. Key actors’ discourse in the network serves to elaborate on and explain ideas and concepts, whereas other actors provide a more supportive role and engage primarily in storytelling. Originality/value This work extends what is known about informal mentoring and the role of key actors within affinity spaces by identifying specific discourse types and types of knowledge sharing that are characteristic of key actors. Also, this study provides an example of the use of a combination of rule mining association and sentiment analysis to characterize the nature of the affinity space.
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