Document Type

Conference Proceeding

Publication Date



Diabetes is a debilitating chronic condition that is touted to inflict 9% of adults. Despite the information technology (IT) solutions for the self-management of diabetes, there is a gap between user expectations, and what the IT solutions are offering. To understand these expectations, this research investigates the topics shared by a diabetic community on Twitter as an instant day-to-day micro-blogging platform and TuDiabetes as a social media forum for the community. We focus on studying personal experiences related to diabetes through adapt and apply text mining techniques to tweets of self-identified diabetic patients on Twitter and TuDiabetes. Through the analysis 75,864 tweets and 1,424 TuDiabetes discussions, we identify dominating talks on continuous glucose monitoring on both Twitter and TuDiabetes, we also spotted insightful discussions on diet, wearables, and technology for Type two diabetes patients on Twitter. The results could guide future IT interventions into the self-management of the condition.