TY - GEN
T1 - Detecting illicit drugs on social media using Automated Social Media Intelligence Analysis (ASMIA)
AU - Watters, Paul A.
AU - Phair, Nigel
PY - 2012
Y1 - 2012
N2 - While social media is a new and exciting technology, it has the potential to be misused by organized crime groups and individuals involved in the illicit drugs trade. In particular, social media provides a means to create new marketing and distribution opportunities to a global marketplace, often exploiting jurisdictional gaps between buyer and seller. The sheer volume of postings presents investigational barriers, but the platform is amenable to the partial automation of open source intelligence. This paper presents a new methodology for automating social media data, and presents two pilot studies into its use for detecting marketing and distribution of illicit drugs targeted at Australians. Key technical challenges are identified, and the policy implications of the ease of access to illicit drugs are discussed.
AB - While social media is a new and exciting technology, it has the potential to be misused by organized crime groups and individuals involved in the illicit drugs trade. In particular, social media provides a means to create new marketing and distribution opportunities to a global marketplace, often exploiting jurisdictional gaps between buyer and seller. The sheer volume of postings presents investigational barriers, but the platform is amenable to the partial automation of open source intelligence. This paper presents a new methodology for automating social media data, and presents two pilot studies into its use for detecting marketing and distribution of illicit drugs targeted at Australians. Key technical challenges are identified, and the policy implications of the ease of access to illicit drugs are discussed.
KW - illicit drugs
KW - open source intelligence
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=84871372078&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-35362-8_7
DO - 10.1007/978-3-642-35362-8_7
M3 - Conference contribution
AN - SCOPUS:84871372078
SN - 9783642353611
VL - 7672
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 66
EP - 76
BT - Cyberspace Safety and Security - 4th International Symposium, CSS 2012, Proceedings
PB - Springer
T2 - 4th International Symposium on Cyberspace Safety and Security, CSS 2012
Y2 - 12 December 2012 through 13 December 2012
ER -