Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50426

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

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Title:Don’t Want to Get Caught? Don’t Say It: The Use of EMOJIS in Online Human Sex Trafficking Ads
Authors:Whitney, Jessica
Jennex, Murray
Elkins, Aaron
Frost, Eric
Keywords:Knowledge Management and Information Security
human trafficking knowledge management machine learning ontology
Date Issued:03 Jan 2018
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.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/50426
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.537
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Knowledge Management and Information Security


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