@article{ref1,
title="Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity",
journal="Journal of human trafficking",
year="2015",
author="Dubrawski, Artur and Miller, Kyle and Barnes, Matthew and Boecking, Benedikt and Kennedy, Emily",
volume="1",
number="1",
pages="65-85",
abstract="We present a few data analysis methods that can be used to process advertisements for escort services available in public areas of the Internet. These data provide a readily available proxy evidence for modeling and discerning human-trafficking activity. We show how it can be used to identify advertisements that likely involve such activity. We demonstrate its utility in identifying and tracking entities in the Web-advertisement data even if strongly identifiable features are sparse. We also show a few possible ways to perform community- and population-level analyses including behavioral summaries stratified by various types of activity and detection of emerging trends and patterns.<p /><p>Language: en</p>",
language="en",
issn="2332-2705",
doi="10.1080/23322705.2015.1015342",
url="http://dx.doi.org/10.1080/23322705.2015.1015342"
}