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Organised Crime and Social Media: Detecting and Corroborating Weak Signals of Human Trafficking Online

Andrews, Simon; Brewster, Ben; Day, Tony

Authors

Simon Andrews

Dr. BEN BREWSTER Ben.Brewster@nottingham.ac.uk
Assistant Professor in Informationsystems

Tony Day



Abstract

This paper describes an approach for detecting the presence or emergence of Organised Crime (OC) signals on Social Media. It shows how words and phrases, used by members of the public in Social Media, can be treated as weak signals of OC, enabling information to be classified according to a taxonomy of OC. Formal Concept Analysis is used to group information sources, according to Crime and Location, thus providing a means of corroboration and creating OC Concepts that can be used to alert police analysts to the possible presence of OC. The analyst is able to ‘drill down’ into an OC Concept of interest, discovering additional information that may be pertinent to the crime. The paper describes the implementation of this approach into a fully-functional prototype software system, incorporating a Social Media Scanning System and a map-based user interface. The approach and system are illustrated using the Trafficking of Human Beings as an example. Real data is used to obtain results that show that weak signals of OC have been detected and corroborated, thus alerting to the possible presence of OC.

Citation

Andrews, S., Brewster, B., & Day, T. (2016). Organised Crime and Social Media: Detecting and Corroborating Weak Signals of Human Trafficking Online. In Graph-Based Representation and Reasoning: 22nd International Conference on Conceptual Structures, ICCS 2016, Annecy, France, July 5-7, 2016, Proceedings (137-150). https://doi.org/10.1007/978-3-319-40985-6_11

Presentation Conference Type Edited Proceedings
Conference Name 22nd International Conference on Conceptual Structures
Start Date Jul 5, 2016
End Date Jul 7, 2016
Online Publication Date Jun 10, 2016
Publication Date Jun 30, 2016
Deposit Date Jan 21, 2020
Publisher Springer Verlag
Pages 137-150
Series Title Lecture Notes in Computer Science
Series Number 9717
Series ISSN 1611-3349
Book Title Graph-Based Representation and Reasoning: 22nd International Conference on Conceptual Structures, ICCS 2016, Annecy, France, July 5-7, 2016, Proceedings
ISBN 9783319409849
DOI https://doi.org/10.1007/978-3-319-40985-6_11
Public URL https://nottingham-repository.worktribe.com/output/3774379
Publisher URL https://link.springer.com/chapter/10.1007/978-3-319-40985-6_11