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'Who can help me?': Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit

Authors :
Gaur, Manas
Roy, Kaushik
Sharma, Aditya
Srivastava, Biplav
Sheth, Amit
Publication Year :
2021

Abstract

During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coronavirus saw a rapid growth in user's requests for help (support seekers - SSs) including individuals with varying professions and experiences with diverse perspectives on care (support providers - SPs). Currently, knowledgeable human moderators match an SS with a user with relevant experience, i.e, an SP on these subreddits. This unscalable process defers timely care. We present a medical knowledge-infused approach to efficient matching of SS and SPs validated by experts for the users affected by anxiety and depression, in the context of with COVID-19. After matching, each SP to an SS labeled as either supportive, informative, or similar (sharing experiences) using the principles of natural language inference. Evaluation by 21 domain experts indicates the efficacy of incorporated knowledge and shows the efficacy the matching system.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2105.06398
Document Type :
Working Paper