Crawling Open-Source Data for Indicators of Human Trafficking

Brewster, Ben; Ingle, Timothy; Rankin, Glynn

Abstract

Information available from open-source mediums such as the web and social media are increasingly being used to aid the response to emergent crimes and reinforce existing Law Enforcement Agency intelligence capability. In this paper we discuss the rationale for, and development of, a framework for crawling open-source data for information regarding, and indicators of, Human Trafficking. The three-Level model presented aims to add value to the modelling, and increase the understanding of Human Trafficking in order to facilitate the detection and analysis of indicators to ultimately increase the value and range of information available to decision makers.

Citation

Brewster, B., Ingle, T., & Rankin, G. (2014). Crawling Open-Source Data for Indicators of Human Trafficking. In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing. https://doi.org/10.1109/ucc.2014.116

• Conference Name: 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC)
• Conference Location: London, United Kingdom
• Start Date: Dec 8, 2014
• End Date: Dec 11, 2014
• Acceptance Date: Nov 3, 2014
• Online Publication Date: Feb 2, 2015
• Publication Date: 2014-12
• Deposit Date: Jan 21, 2020
• Book Title: 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing
• DOI: https://doi.org/10.1109/ucc.2014.116
• Public URL: https://nottingham-repository.worktribe.com/output/3774417
• Publisher URL: https://ieeexplore.ieee.org/document/7027583