Detecting illicit opioid content on Twitter

INTRODUCTION AND AIMS. This article examines the feasibility of leveraging Twitter to detect posts authored by people who use opioids (PWUO) or content related to opioid use disorder (OUD), and manually develop a multidimensional taxonomy of relevant tweets. DESIGN AND METHODS. Twitter messages were...

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Detalhes bibliográficos
Publicado no:Drug Alcohol Rev
Main Authors: TOFIGHI, BABAK, APHINYANAPHONGS, YINDALON, MARINI, CHRISTINA, GHASSEMLOU, SHOURON, NAYEBVALI, PEYMAN, METZGER, ISABEL, RAGHUNATH, ANANDITHA, THOMAS, SHAILIN
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8276110/
https://ncbi.nlm.nih.gov/pubmed/32202005
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/dar.13048
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