Don’t Want to Get Caught? Don’t Say It: The Use of EMOJIS in Online Human Sex Trafficking Ads

Date
2018-01-03
Authors
Whitney, Jessica
Jennex, Murray
Elkins, Aaron
Frost, Eric
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Abstract
Technology has dramatically changed the way criminals conduct their illicit activities. Specifically, the Internet has become a major facilitator of online human sex trafficking. Traffickers are using these technologies to market their victims which presents new challenges for efforts to combat sex trafficking. This study used knowledge management principles and natural language processing methods to develop an improved ontology of online sex trafficking ads. The language of these ads is constantly evolving; therefore, this study explored the role of a new type of indicator, emoticons, to the ontology of human trafficking indicators.
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Keywords
Knowledge Management and Information Security, human trafficking knowledge management machine learning ontology
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