{"id":802930,"date":"2021-12-07T21:25:45","date_gmt":"2021-12-08T05:25:45","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=802930"},"modified":"2023-04-18T00:43:07","modified_gmt":"2023-04-18T07:43:07","slug":"a-linguistic-annotation-framework-to-study-interactions-in-multilingual-healthcare-conversational-forums","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-linguistic-annotation-framework-to-study-interactions-in-multilingual-healthcare-conversational-forums\/","title":{"rendered":"A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums"},"content":{"rendered":"
In recent years, remote digital healthcare using online chats has gained momentum, especially in the Global South. Though prior work has studied interaction patterns in online (health) forums, such as TalkLife, Reddit and Facebook, there has been limited work in understanding interactions in small, close-knit community of instant messengers. In this paper, we propose a 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