@inproceedings{f3795ac3e418430ea1f0a49574112f81,
title = "Content Quality in Online Q\&A Communities: An Approach for Measuring Content Quality",
abstract = "Research into online support communities is becoming more important as researchers strive to understand the dynamics behind these communities and the interactions of their participants. Since these communities are largely Q\&A platforms where seekers request information or support, the quality of responses is increasingly relevant in most studies, yet this is a difficult variable to measure. We propose a method for measuring answer quality by using text analytics to determine the topics that are addressed in the questions and then determining the quality of responses based on whether the topics in the answer match the topics in the question. This research discusses how to generate this type of metric and demonstrates its validity using a unique data set from multiple mental health communities in China.",
keywords = "Online communities, content quality, text analytics",
author = "Junjie Zhou and Lee, \{Michael J.\} and Rajiv Kishore",
note = "Publisher Copyright: {\textcopyright} 2023 29th Annual Americas Conference on Information Systems, AMCIS 2023. All rights reserved.; 29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023 ; Conference date: 10-08-2023 Through 12-08-2023",
year = "2023",
language = "English",
series = "29th Annual Americas Conference on Information Systems, AMCIS 2023",
publisher = "Association for Information Systems",
booktitle = "29th Annual Americas Conference on Information Systems, AMCIS 2023",
address = "United States",
}