Linking text characteristics of ideas to their popularity in online user innovation communities

作者：

Highlights：

• Votes and Comments on an idea constitutes idea popularity in a user innovation community.

• We analyze what determines more votes and comments on an idea.

• Idea text characteristics influence reviewers' votes and comments on an idea.

• Idea text length, breadth, and dissimilarity at moderate levels influence votes and comments.

摘要

•Votes and Comments on an idea constitutes idea popularity in a user innovation community.•We analyze what determines more votes and comments on an idea.•Idea text characteristics influence reviewers' votes and comments on an idea.•Idea text length, breadth, and dissimilarity at moderate levels influence votes and comments.

论文关键词：User innovation communities,Idea text characteristics,Text analytics,Idea popularity,Online customer engagement

论文评审过程：Received 9 July 2021, Revised 25 May 2022, Accepted 27 June 2022, Available online 30 June 2022, Version of Record 4 July 2022.

论文官网地址：https://doi.org/10.1016/j.chb.2022.107382