2022
DOI: 10.3390/ijerph19106281
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Identifying and Characterizing Medical Advice-Seekers on a Social Media Forum for Buprenorphine Use

Abstract: Background: Online communities such as Reddit can provide social support for those recovering from opioid use disorder. However, it is unclear whether and how advice-seekers differ from other users. Our research addresses this gap by identifying key characteristics of r/suboxone users that predict advice-seeking behavior. Objective: The objective of this analysis is to identify and describe advice-seekers on Reddit for buprenorphine-naloxone use using text annotation, social network analysis, and statistical m… Show more

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Cited by 2 publications
(2 citation statements)
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“…Although many alternative approaches to access Reddit data exist, we chose the RedditExtractoR package because it provides an easy‐to‐use, mostly code‐free interface to search Reddit and retrieve user‐generated data. Recently, the RedditExtractoR package has been instrumental for studies investigating online discourse about diverse health‐related topics (e.g., medication use [Garcia et al, 2022 ; Smith et al, 2021 ]; suicidal ideation [Mason et al, 2021 ]; eating disorders, [Nutley, 2021 ]).…”
Section: Methodsmentioning
confidence: 99%
“…Although many alternative approaches to access Reddit data exist, we chose the RedditExtractoR package because it provides an easy‐to‐use, mostly code‐free interface to search Reddit and retrieve user‐generated data. Recently, the RedditExtractoR package has been instrumental for studies investigating online discourse about diverse health‐related topics (e.g., medication use [Garcia et al, 2022 ; Smith et al, 2021 ]; suicidal ideation [Mason et al, 2021 ]; eating disorders, [Nutley, 2021 ]).…”
Section: Methodsmentioning
confidence: 99%
“…Of all shortlisted social media platforms, X (formerly Twitter) and Reddit were by far the most commonly used in existing literature. The topics of studies using these two platforms range from correlating opioid-related discussion volume and opioid-related overdose death rates (2,(7)(8)(9)(10)41,42,70,71), characterizing trends and themes in online discussion of OUD and OUD treatment (4,27,(37)(38)(39)(40)70,74,87,(103)(104)(105)(106)(107)(108)(109)(110)(111)(112)(113)(114)(115)(116)(117)(118)(119)(120)(121), and characterizing public sentiment towards the opioid epidemic generally (39,82,93,108,122,123). Many research groups have also created models to automatically identify posts on X and Reddit with discussion related to opioids.…”
Section: Prior Use In Research Literaturementioning
confidence: 99%