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DUI: the drug use insights web server
Zachary Prince1, Deeptanshu Jha1, Rahul Singh1
1Department of Computer Science, San Francisco State University, San Francisco, CA, USA.
Bioinformatics (Oxford, England)
|June 24, 2021
Summary
A new web application, Drug-Use Insights (DUI), analyzes social media language for drug addiction epidemiology. It offers a large taxonomy of terms to understand substance use patterns and aid public health research.
Area of Science:
- Computational Social Science
- Public Health Informatics
- Computational Linguistics
Background:
- Substance abuse is a major health epidemic.
- Social media offers novel data for addiction epidemiology but uses complex slang.
- Lack of tools hinders analysis of social media drug use language.
Purpose of the Study:
- To develop a publicly available resource for analyzing social media language related to drug use.
- To create a comprehensive taxonomy of drug abuse terminology from social media data.
Main Methods:
- Thematic analysis and term embeddings from over 7 million Reddit posts.
- Development of a hierarchical taxonomy with 108 categories and over 9000 terms.
- Creation of the Drug-Use Insights (DUI) open-source web application.
Main Results:
- DUI provides a hierarchical taxonomy of drug abuse terms derived from extensive social media data.
- The application identifies drug-related terms in social media posts.
- DUI enables semantic and exploratory analysis of substance use and recovery discussions.
Conclusions:
- Drug-Use Insights (DUI) addresses the gap in analyzing specialized language in social media for addiction epidemiology.
- DUI represents a significant resource for researchers studying substance abuse through social media data.
- The tool facilitates a deeper understanding of drug use and recovery trends online.
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