research-article

Data integration from open internet sources to combat sex trafficking of minors

Authors:

Donald MetzlerAuthors Info & Claims

dg.o '12: Proceedings of the 13th Annual International Conference on Digital Government Research

Pages 246 - 252

https://doi.org/10.1145/2307729.2307769

Published: 04 June 2012 Publication History

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Abstract

Sex trafficking is the process and means of using force, fraud, or coercion to obtain and compel men, women and children into commercial sexual exploitation. Prevalent in both international and domestic spheres, this form of human trafficking constitutes a serious crime. Traffickers use a variety of means to advertise the illicit sexual services of the children and women they offer, including Internet classified ads, bulletin boards, and social media associated with escort and massage services (EMS). Clients ("johns") of the EMS fronts for prostitution also use the Internet and social media to compare their experiences and offer leads to one another. Law enforcement organizations have implemented a number of initiatives to combat child sexual trafficking. We describe a prototype law enforcement support system developed to automatically compile and correlate information from open Internet sources about trafficking and sexual abuse of women and especially children. The system, called TrafficBot, employs information retrieval, information integration, and natural language technologies to build a data warehouse allowing various visualizations of information for the benefit of law enforcement. We discuss the current capabilities of TrafficBot, how it could be used by law enforcement, and suggest some future directions.

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Cited By

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Datey IZytko D(2024)"Just Like, Risking Your Life Here": Participatory Design of User Interactions with Risk Detection AI to Prevent Online-to-Offline Harm Through Dating AppsProceedings of the ACM on Human-Computer Interaction10.1145/36869068:CSCW2(1-41)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686906
Sulit AAcerado RTomaquin RMorco R(2023)Predicting Cyber-Trafficking Websites Using a Naive Bayes Algorithm, Logistic Regression, KNN, and SVM6th International Conference on Signal Processing and Information Communications10.1007/978-3-031-43781-6_6(61-71)Online publication date: 11-Nov-2023
https://doi.org/10.1007/978-3-031-43781-6_6
Dimas GKonrad RLee Maass KTrapp A(2022)Operations research and analytics to combat human trafficking: A systematic review of academic literaturePLOS ONE10.1371/journal.pone.027370817:8(e0273708)Online publication date: 29-Aug-2022
https://doi.org/10.1371/journal.pone.0273708
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Index Terms

Data integration from open internet sources to combat sex trafficking of minors
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
    1. Document representation

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Published In

dg.o '12: Proceedings of the 13th Annual International Conference on Digital Government Research

June 2012

324 pages

ISBN:9781450314039

DOI:10.1145/2307729

Conference Chair:
John Bertot
University of Maryland
,
Program Chairs:
Luis Felipe Luna-Reyes
Universidad de las Americas, Puebla
,
Sehl Mellouli
Laval University

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 June 2012

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dg.o '12: 13th Annual International Conference on Digital Government Research

June 4 - 7, 2012

Maryland, College Park, USA

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Datey IZytko D(2024)"Just Like, Risking Your Life Here": Participatory Design of User Interactions with Risk Detection AI to Prevent Online-to-Offline Harm Through Dating AppsProceedings of the ACM on Human-Computer Interaction10.1145/36869068:CSCW2(1-41)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686906
Sulit AAcerado RTomaquin RMorco R(2023)Predicting Cyber-Trafficking Websites Using a Naive Bayes Algorithm, Logistic Regression, KNN, and SVM6th International Conference on Signal Processing and Information Communications10.1007/978-3-031-43781-6_6(61-71)Online publication date: 11-Nov-2023
https://doi.org/10.1007/978-3-031-43781-6_6
Dimas GKonrad RLee Maass KTrapp A(2022)Operations research and analytics to combat human trafficking: A systematic review of academic literaturePLOS ONE10.1371/journal.pone.027370817:8(e0273708)Online publication date: 29-Aug-2022
https://doi.org/10.1371/journal.pone.0273708
Aljasim HZytko D(2022)Foregrounding Women's Safety in Mobile Social Matching and Dating AppsProceedings of the ACM on Human-Computer Interaction10.1145/35675597:GROUP(1-25)Online publication date: 29-Dec-2022
https://dl.acm.org/doi/10.1145/3567559
Deeb-Swihart JEndert ABruckman A(2022)Ethical Tensions in Applications of AI for Addressing Human Trafficking: A Human Rights PerspectiveProceedings of the ACM on Human-Computer Interaction10.1145/35551866:CSCW2(1-29)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555186
Giommoni LIkwu R(2021)Identifying human trafficking indicators in the UK online sex marketTrends in Organized Crime10.1007/s12117-021-09431-027:1(10-33)Online publication date: 17-Sep-2021
https://doi.org/10.1007/s12117-021-09431-0
Diaz MPanangadan A(2020)Natural Language-based Integration of Online Review Datasets for Identification of Sex Trafficking Businesses2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI)10.1109/IRI49571.2020.00044(259-264)Online publication date: Aug-2020
https://doi.org/10.1109/IRI49571.2020.00044
Andrews SBrewster BDay T(2018)Organised crime and social media: a system for detecting, corroborating and visualising weak signals of organised crime onlineSecurity Informatics10.1186/s13388-018-0032-87:1Online publication date: 13-Dec-2018
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Burbano DHernandez-Alvarez M(2018)Illicit, Hidden Advertisements on Twitter2018 International Conference on eDemocracy & eGovernment (ICEDEG)10.1109/ICEDEG.2018.8372370(317-321)Online publication date: Apr-2018
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Strohmayer ALaing MComber RMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)Technologies and Social Justice Outcomes in Sex Work CharitiesProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025615(3352-3364)Online publication date: 2-May-2017
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Understanding Law Enforcement Strategies and Needs for Combating Human Trafficking

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