The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Using Knowledge Management and Machine Learning to Identify Victims of Human Sex Trafficking
|
|
Author(s): Jessica Whitney (San Diego State University, USA), Marisa Hultgren (San Diego State University, USA), Murray Eugene Jennex (San Diego State University, USA), Aaron Elkins (San Diego State University, USA)and Eric Frost (San Diego State University, USA)
Copyright: 2020
Pages: 30
Source title:
Knowledge Management, Innovation, and Entrepreneurship in a Changing World
Source Author(s)/Editor(s): Murray Eugene Jennex (San Diego State University, USA)
DOI: 10.4018/978-1-7998-2355-1.ch014
Purchase
|
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. Authors 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. Authors used the prototype to analyze a dataset generated from online ads from southern California and used the results of this process to generate a revised prototype that included the use of machine learning and text mining enhancements. An unexpected outcome of the second dataset was the discovery of the use of emojis in an expanded ontology.
Related Content
|
.
© 2023.
11 pages.
|
|
.
© 2023.
19 pages.
|
|
.
© 2023.
25 pages.
|
|
.
© 2023.
14 pages.
|
|
.
© 2023.
26 pages.
|
|
.
© 2023.
17 pages.
|
|
.
© 2023.
15 pages.
|
|
|