Advice reification, learning, and emergent collective intelligence in online health support communities
作者：
Highlights：
• Online health communities refine the advice they provide to newcomers over time.
• This is similar to the reification of practice in a community of practice.
• We introduce an algorithm to extract advice refinement arrayed across posts.
• We identify three different types of advice refinement.
• These different types reflect differences in the status of each type of advice for the community.
摘要
•Online health communities refine the advice they provide to newcomers over time.•This is similar to the reification of practice in a community of practice.•We introduce an algorithm to extract advice refinement arrayed across posts.•We identify three different types of advice refinement.•These different types reflect differences in the status of each type of advice for the community.
论文关键词：Online health community,Health advice,Community of practice,Reification
论文评审过程：Received 24 September 2018, Revised 20 May 2019, Accepted 21 May 2019, Available online 24 May 2019, Version of Record 29 May 2019.
论文官网地址：https://doi.org/10.1016/j.chb.2019.05.028
