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Global human trafficking seen through the lens of semantics and text analytics
Author(s) -
Bedford Denise A. D.,
Bekbalaeva Jyldyz,
Ballard Kyle M.,
Hernandez Thomas J.
Publication year - 2017
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2017.14505401065
Subject(s) - human trafficking , sex trafficking , receipt , analytics , coercion (linguistics) , political science , semantics (computer science) , state (computer science) , criminology , computer security , data science , sociology , computer science , world wide web , programming language , linguistics , philosophy , algorithm
Human trafficking is understood as a modern‐day form of slavery. It involves the recruitment, transportation, transfer, harboring, or receipt of persons by improper means (such as force, abduction, fraud, or coercion) for an improper purpose including forced labor or sexual exploitation. Human trafficking is global, is found in every country, affects all genders, and persons of all ages. While pervasive, it is also invisible. Quantitative and qualitative research methods into human trafficking have significant challenges. This program presents collegial collaborative research by the U.S. Department of State and Georgetown University into the use of text analytics and semantic analysis methods to map trafficking, to identify trafficking hubs around the world, and to expose human trafficking.