Drugtracker: A community-focused drug abuse monitoring and supporting system using social media and geospatial data (Demo Paper)

Han Hu, Nhat Hai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a community-focused drug abuse monitoring and supporting system, called DrugTracker, that utilizes social media and geospatial data in near real-time. Through the system, users can: (1) Detect drug abuse risk behaviors from social media platforms, e.g., Twitter; (2) Analyze drug abuse risk behaviors by querying consolidated and live datasets with keywords, spatial entities, and time constraints; and (3) Explore the query results and associated data through a web-based user interface in thematic choropleth, heatmap, and statistical charts. To protect the privacy of the Twitter users, whose data is collected, the system automatically hides the re-identification elements in tweets and aggregates the geo-tags into areas such as census tracts. For the demonstration purpose, our DrugTracker system is populated with a database that contains about 10 million tweets from the year 2017, that were annotated as drug abuse risk behavior positive by our deep learning model.

Original languageEnglish (US)
Title of host publication27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2019
EditorsFarnoush Banaei-Kashani, Goce Trajcevski, Ralf Hartmut Guting, Lars Kulik, Shawn Newsam
PublisherAssociation for Computing Machinery
Pages564-567
Number of pages4
ISBN (Electronic)9781450369091
DOIs
StatePublished - Nov 5 2019
Event27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2019 - Chicago, United States
Duration: Nov 5 2019Nov 8 2019

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Conference

Conference27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2019
Country/TerritoryUnited States
CityChicago
Period11/5/1911/8/19

All Science Journal Classification (ASJC) codes

  • Earth-Surface Processes
  • Computer Science Applications
  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

Keywords

  • Deep learning
  • Drug abuse
  • Social media
  • Visualization

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