Proceedings of the Association for Information Science and Technology
Volume 54, Issue 1, 2017, Pages 535-538

Global human trafficking seen through the lens of semantics and text analytics (Article)

Bedford D.A.D. , Bekbalaeva J. , Ballard K.M. , Hernandez T.J.
  • a Georgetown University, United States
  • b American University of Central Asia, Kyrgyzstan
  • c U.S. Department of State, United States
  • d Granicus, United States

Abstract

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. Copyright © 2017 by Association for Information Science and Technology

Author Keywords

Human trafficking information dissemination semantic profiles text analytics

Index Keywords

[No Keywords available]
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040780171&doi=10.1002%2fpra2.2017.14505401065&partnerID=40&md5=86e94c20a1ca9c778e5526e83a1c180b
DOI: 10.1002/pra2.2017.14505401065
ISSN: 23739231
Cited by: 2
Original Language: English