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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Bibliografiske detaljer
Udgivet i:Drug Alcohol Rev
Main Authors: TOFIGHI, BABAK, APHINYANAPHONGS, YINDALON, MARINI, CHRISTINA, GHASSEMLOU, SHOURON, NAYEBVALI, PEYMAN, METZGER, ISABEL, RAGHUNATH, ANANDITHA, THOMAS, SHAILIN
Format: Artigo
Sprog:Inglês
Udgivet: 2020
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Article
Online adgang: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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