Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit

Introduction: Opioid misuse is a public health crisis in the US, and misuse of synthetic opioids such as fentanyl have driven the most recent waves of opioid-related deaths. Because those who misuse fentanyl are often a hidden and high-risk group, innovative methods for identifying individuals at ri...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sanjana Garg, Jordan Taylor, Mai El Sherief, Erin Kasson, Talayeh Aledavood, Raven Riordan, Nina Kaiser, Patricia Cavazos-Rehg, Munmun De Choudhury
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Fentanyl Opioids Overdose Machine learning Detection Social media Information technology T58.5-58.64 Psychology BF1-990
Acceso en línea:	https://doaj.org/article/12cf30b0277c4df481418643049149e3
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:12cf30b0277c4df481418643049149e3
record_format	dspace
spelling	oai:doaj.org-article:12cf30b0277c4df481418643049149e32021-11-06T04:29:15ZDetecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit2214-782910.1016/j.invent.2021.100467https://doaj.org/article/12cf30b0277c4df481418643049149e32021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S221478292100107Xhttps://doaj.org/toc/2214-7829Introduction: Opioid misuse is a public health crisis in the US, and misuse of synthetic opioids such as fentanyl have driven the most recent waves of opioid-related deaths. Because those who misuse fentanyl are often a hidden and high-risk group, innovative methods for identifying individuals at risk for fentanyl misuse are needed. Machine learning has been used in the past to investigate discussions surrounding substance use on Reddit, and this study leverages similar techniques to identify risky content from discussions of fentanyl on this platform. Methods: A codebook was developed by clinical domain experts with 12 categories indicative of fentanyl misuse risk, and this was used to manually label 391 Reddit posts and comments. Using this data, we built machine learning classification models to identify fentanyl risk. Results: Our machine learning risk model was able to detect posts or comments labeled as risky by our clinical experts with 76% accuracy and 76% sensitivity. Furthermore, we provide a vocabulary of community-specific, colloquial words for fentanyl and its analogues. Discussion: This study uses an interdisciplinary approach leveraging machine learning techniques and clinical domain expertise to automatically detect risky discourse, which may elicit and benefit from timely intervention. Moreover, our vocabulary of online terms for fentanyl and its analogues expands our understanding of online “street” nomenclature for opiates. Through an improved understanding of substance misuse risk factors, these findings allow for identification of risk concepts among those misusing fentanyl to inform outreach and intervention strategies tailored to this at-risk group.Sanjana GargJordan TaylorMai El SheriefErin KassonTalayeh AledavoodRaven RiordanNina KaiserPatricia Cavazos-RehgMunmun De ChoudhuryElsevierarticleFentanylOpioidsOverdoseMachine learningDetectionSocial mediaInformation technologyT58.5-58.64PsychologyBF1-990ENInternet Interventions, Vol 26, Iss , Pp 100467- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Fentanyl Opioids Overdose Machine learning Detection Social media Information technology T58.5-58.64 Psychology BF1-990
spellingShingle	Fentanyl Opioids Overdose Machine learning Detection Social media Information technology T58.5-58.64 Psychology BF1-990 Sanjana Garg Jordan Taylor Mai El Sherief Erin Kasson Talayeh Aledavood Raven Riordan Nina Kaiser Patricia Cavazos-Rehg Munmun De Choudhury Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit
description	Introduction: Opioid misuse is a public health crisis in the US, and misuse of synthetic opioids such as fentanyl have driven the most recent waves of opioid-related deaths. Because those who misuse fentanyl are often a hidden and high-risk group, innovative methods for identifying individuals at risk for fentanyl misuse are needed. Machine learning has been used in the past to investigate discussions surrounding substance use on Reddit, and this study leverages similar techniques to identify risky content from discussions of fentanyl on this platform. Methods: A codebook was developed by clinical domain experts with 12 categories indicative of fentanyl misuse risk, and this was used to manually label 391 Reddit posts and comments. Using this data, we built machine learning classification models to identify fentanyl risk. Results: Our machine learning risk model was able to detect posts or comments labeled as risky by our clinical experts with 76% accuracy and 76% sensitivity. Furthermore, we provide a vocabulary of community-specific, colloquial words for fentanyl and its analogues. Discussion: This study uses an interdisciplinary approach leveraging machine learning techniques and clinical domain expertise to automatically detect risky discourse, which may elicit and benefit from timely intervention. Moreover, our vocabulary of online terms for fentanyl and its analogues expands our understanding of online “street” nomenclature for opiates. Through an improved understanding of substance misuse risk factors, these findings allow for identification of risk concepts among those misusing fentanyl to inform outreach and intervention strategies tailored to this at-risk group.
format	article
author	Sanjana Garg Jordan Taylor Mai El Sherief Erin Kasson Talayeh Aledavood Raven Riordan Nina Kaiser Patricia Cavazos-Rehg Munmun De Choudhury
author_facet	Sanjana Garg Jordan Taylor Mai El Sherief Erin Kasson Talayeh Aledavood Raven Riordan Nina Kaiser Patricia Cavazos-Rehg Munmun De Choudhury
author_sort	Sanjana Garg
title	Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit
title_short	Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit
title_full	Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit
title_fullStr	Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit
title_full_unstemmed	Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit
title_sort	detecting risk level in individuals misusing fentanyl utilizing posts from an online community on reddit
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/12cf30b0277c4df481418643049149e3
work_keys_str_mv	AT sanjanagarg detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit AT jordantaylor detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit AT maielsherief detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit AT erinkasson detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit AT talayehaledavood detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit AT ravenriordan detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit AT ninakaiser detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit AT patriciacavazosrehg detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit AT munmundechoudhury detectingrisklevelinindividualsmisusingfentanylutilizingpostsfromanonlinecommunityonreddit
_version_	1718443899469430784

Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit

Ejemplares similares