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DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper)

Authors:

Huy T. VoAuthors Info & Claims

SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 564 - 567

https://doi.org/10.1145/3347146.3359076

Published: 05 November 2019 Publication History

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.

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Cited By

Al-Aboosi ASheikh Abdullah SIsmail RAbdul Maulud KNahar LZainol Ariffin KLam Mbin Talib MWahab SElias M(2024)A Geospatial Drug Abuse Risk Assessment and Monitoring Dashboard Tailored for School Students: Development Study With Requirement Analysis and Acceptance EvaluationJMIR Human Factors10.2196/4813911(e48139)Online publication date: 30-Jul-2024
https://doi.org/10.2196/48139
Almaslukh ALiu YMagdy A(2024)Scalable Spatio-Temporal Top-k Interaction Queries on Dynamic CommunitiesACM Transactions on Spatial Algorithms and Systems10.1145/3648374Online publication date: 16-Feb-2024
https://doi.org/10.1145/3648374
Nova FPfafman RKardys KKerrigan CGuha SPater J(2022)Uncovering Adverse Childhood Experiences (ACEs) from Clinical Narratives within the Electronic Health RecordProceedings of the ACM on Human-Computer Interaction10.1145/35556056:CSCW2(1-29)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555605
Show More Cited By

Index Terms

DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper)
1. Information systems
  1. Information systems applications
    1. Data mining
  2. World Wide Web
    1. Web applications
      1. Social networks

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Information & Contributors

Information

Published In

cover image ACM Conferences

SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2019

648 pages

ISBN:9781450369091

DOI:10.1145/3347146

Copyright © 2019 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGSPATIAL: ACM Special Interest Group on Spatial Information

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2019

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Author Tags

Qualifiers

Demonstration
Research
Refereed limited

Funding Sources

National Science Foundation
NSF I/UCRC

Conference

SIGSPATIAL '19

Sponsor:

SIGSPATIAL

SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 5 - 8, 2019

IL, Chicago, USA

Acceptance Rates

SIGSPATIAL '19 Paper Acceptance Rate 34 of 161 submissions, 21%;

Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Citations

Cited By

Al-Aboosi ASheikh Abdullah SIsmail RAbdul Maulud KNahar LZainol Ariffin KLam Mbin Talib MWahab SElias M(2024)A Geospatial Drug Abuse Risk Assessment and Monitoring Dashboard Tailored for School Students: Development Study With Requirement Analysis and Acceptance EvaluationJMIR Human Factors10.2196/4813911(e48139)Online publication date: 30-Jul-2024
https://doi.org/10.2196/48139
Almaslukh ALiu YMagdy A(2024)Scalable Spatio-Temporal Top-k Interaction Queries on Dynamic CommunitiesACM Transactions on Spatial Algorithms and Systems10.1145/3648374Online publication date: 16-Feb-2024
https://doi.org/10.1145/3648374
Nova FPfafman RKardys KKerrigan CGuha SPater J(2022)Uncovering Adverse Childhood Experiences (ACEs) from Clinical Narratives within the Electronic Health RecordProceedings of the ACM on Human-Computer Interaction10.1145/35556056:CSCW2(1-29)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555605
Alhamadani ASarkar SAlkulaib LLu C(2022)DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10021054(5163-5172)Online publication date: 17-Dec-2022
https://doi.org/10.1109/BigData55660.2022.10021054
Alhamadani ASarkar SAlkulaib LLu C(2022)PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM55673.2022.10068721(444-453)Online publication date: 10-Nov-2022
https://doi.org/10.1109/ASONAM55673.2022.10068721
Martinez-Castano RLosada DPichel J(2022)Real-Time Focused Extraction of Social Media UsersIEEE Access10.1109/ACCESS.2022.316897710(42607-42622)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3168977

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