Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum

URN to cite this document:: urn:nbn:de:bvb:355-epub-492984
DOI to cite this document:: 10.5283/epub.49298

Moßburger, Luis ; Wende, Felix ; Brinkmann, Kay ; Schmidt, Thomas

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Date of publication of this fulltext: 04 Oct 2021 09:44

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Item type:	Article
Journal or Publication Title:	Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task
Title of Book:	Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task
Place of Publication:	Barcelona, Spain (Online)
Page Range:	pp. 70-81
Date:	December 2020
Institutions:	Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff)
Keywords:	Health Language Processing, Social Media, Reddit, Topic Modeling, Sentiment Analysis
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science 100 Philosophy & psychology > 150 Psychology 400 Language > 400 Language, Linguistics 400 Language > 420 English
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	49298

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Abstract

We present a study employing various techniques of text mining to explore and compare two different online forums focusing on depression: (1) the subreddit r/depression (over 60 million tokens), a large, open social media platform and (2) Beyond Blue (almost 5 million tokens), a professionally curated and moderated depression forum from Australia. We are interested in how the language and the ...