Communications of the Association for Information Systems
Volume 42, Issue 1, 2018, Pages 602-620

A knowledge management approach to identify victims of human sex trafficking (Article) (Open Access)

Hultgren M. , Whitney J. , Jennex M.E. , Elkins A.
  • a Homeland Security Department, San Diego State University, United States
  • b Management Information Systems, Department of San Diego State University’s, Fowler College of Business, United States
  • c Management Information Systems, Department Fowler College of Business, San Diego State University, United States
  • d Management Information Systems, Department Fowler College of Business, San Diego State University, United States

Abstract

Social media and the interactive Web have enabled human traffickers to lure victims and then sell them faster and in greater safety than ever before. However, these same tools have also enabled investigators in their search for victims and criminals. We used system development action research methodology to create and apply a prototype designed to identify victims of human sex trafficking by analyzing online ads. The prototype used a knowledge management approach of generating actionable intelligence by applying a set of strong filters based on an ontology to identify potential victims. We used the prototype to analyze a data set generated from online ads. We used the results of this process to generate a revised prototype that included the use of machine learning and text mining enhancements. We used the revised prototype to identify potential victims in a second data set. The results of applying the prototypes suggest a viable approach to identifying victims of human sex trafficking in online ads. © 2018 by the Association for Information Systems.

Author Keywords

Knowledge management human sex trafficking Ontology

Index Keywords

Ontology Learning systems Human sex trafficking Text mining data set Filtration Online ads Used systems action research knowledge management Data mining social media
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047914824&doi=10.17705%2f1CAIS.04223&partnerID=40&md5=8ea94438f7360225947cb3ab0c954b88
DOI: 10.17705/1CAIS.04223
ISSN: 15293181
Cited by: 2
Original Language: English