Clustering Questions in Healthcare Social Question Answering Based on Design Science Theory

Abstract

In healthcare social media, users connect with patients and professionals without time and space boundaries to seek and share healthcare related information. A classic example of a Medicine 2.0 application is a healthcare Social Question Answering (SQA) service. The growing activities in online healthcare communities, asking questions and sharing answers, play an important role in users’ health information inquiries. Hence, the research question addressed in this paper is: How can we cluster similar questions shared on SQA services in healthcare social media based on the quality of the content shared by users?