2021
DOI: 10.1093/crocol/otab044
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Topics Analysis of Reddit and Twitter Posts Discussing Inflammatory Bowel Disease and Distress From 2017 to 2019

Abstract: Background Social media platforms are popular tools for people with IBD to seek support. In the current study, we sought to examine and characterize IBD and distress discourse on public social media platforms. Our goal was to identify topics associated with these online discussions. Methods We collected public social media posts about IBD and distress from Reddit (N=40,625) and Twitter (N=40,306) published between September 2… Show more

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Cited by 9 publications
(6 citation statements)
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“…We built a semiautomated program using Python (version 3.8.1) to identify prospective participants on Reddit and Twitter, which are 2 popular social media platforms used for IBD discourse [ 20 ]. This program actively scanned public posts in real time to flag prospective participants.…”
Section: Methodsmentioning
confidence: 99%
“…We built a semiautomated program using Python (version 3.8.1) to identify prospective participants on Reddit and Twitter, which are 2 popular social media platforms used for IBD discourse [ 20 ]. This program actively scanned public posts in real time to flag prospective participants.…”
Section: Methodsmentioning
confidence: 99%
“…Recently, substantial research has been dedicated to thematically analyzing health-related tweets. Researchers conducted large-scale analyses of tweets related to diabetes [ 25 ], COVID-19 [ 26 , 27 ], cancer [ 28 ], and IBD [ 29 , 30 ]. In contrast to this study, they did not focus their research on patients’ tweets.…”
Section: Related Workmentioning
confidence: 99%
“…Speci cally, regarding health-related applications, various works started to focus on mental health due to its close relation with language, such as depression diagnosis [9], suicidal ideation detection [10], and the linguistic analysis of multiple and cooccurring mental health conditions [11]. Indeed, some works have focused on computationally exploring language for chronic pain, such as, extracting biomedical entities and relations from disease speci c online forums [12], importance analysis of latent topics (as pre-de ned by the authors, as opposed to automatically extracted) in online discussions of In ammatory Bowel Disease [13], qualitative analysis of the concerns of women with Rheumatoid Arthritis, according to textual submissions to Reddit on speci c sub-forums related to this disease [14], and topic modelling over the Reddit's sub-forum ChronicPain to analyze common semantic structures of chronic pain online reports, discovering that back pain is, by far, the most mentioned [15].…”
Section: Introductionmentioning
confidence: 99%