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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Detaylı Bibliyografya
Yayımlandı:Drug Alcohol Rev
Asıl Yazarlar: TOFIGHI, BABAK, APHINYANAPHONGS, YINDALON, MARINI, CHRISTINA, GHASSEMLOU, SHOURON, NAYEBVALI, PEYMAN, METZGER, ISABEL, RAGHUNATH, ANANDITHA, THOMAS, SHAILIN
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2020
Konular:
Article
Online Erişim: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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