ANDREWS, Simon, BREWSTER, Ben and DAY, Tony (2018). Organised crime and social media; a system for detecting, corroborating and visualising weak signals of organised crime online. Security Informatics, 7.
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23431:520965
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JSI_Paper_internal.pdf - Accepted Version
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JSI_Paper_internal.pdf - Accepted Version
Available under License Creative Commons Attribution.
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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 posts, can be treated as weak
signals of OC, enabling information to be classi�ed according to a taxonomy.
Formal Concept Analysis (FCA) is used to group information sources, according
to Crime-type 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 Human
Tra�cking and Modern Slavery 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.
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