Standard
Supporting Law Enforcement in Digital Communities through Natural Language Analysis. / Hughes, Daniel
; Rayson, P.; Walkerdine, J. et al.
Computational Forensics : Second International Workshop, IWCF 2008, Washington, DC, USA, August 7-8, 2008. Proceedings. ed. / Sargur N. Srihari; Katrin Franke. Berlin: Springer, 2008. p. 122-134 (Lecture Notes in Computer Science; Vol. 5158).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Hughes, D
, Rayson, P, Walkerdine, J, Lee, K
, Greenwood, P, Rashid, A, May-Chahal, C & Brennan, M 2008,
Supporting Law Enforcement in Digital Communities through Natural Language Analysis. in SN Srihari & K Franke (eds),
Computational Forensics : Second International Workshop, IWCF 2008, Washington, DC, USA, August 7-8, 2008. Proceedings. Lecture Notes in Computer Science, vol. 5158, Springer, Berlin, pp. 122-134, 2nd International Workshop on Computational Forensics (IWCF 2008), Washington DC, USA,
7/08/08.
https://doi.org/10.1007/978-3-540-85303-9_12APA
Hughes, D.
, Rayson, P., Walkerdine, J., Lee, K.
, Greenwood, P., Rashid, A., May-Chahal, C., & Brennan, M. (2008).
Supporting Law Enforcement in Digital Communities through Natural Language Analysis. In S. N. Srihari, & K. Franke (Eds.),
Computational Forensics : Second International Workshop, IWCF 2008, Washington, DC, USA, August 7-8, 2008. Proceedings (pp. 122-134). (Lecture Notes in Computer Science; Vol. 5158). Springer.
https://doi.org/10.1007/978-3-540-85303-9_12Vancouver
Hughes D
, Rayson P, Walkerdine J, Lee K
, Greenwood P, Rashid A et al.
Supporting Law Enforcement in Digital Communities through Natural Language Analysis. In Srihari SN, Franke K, editors, Computational Forensics : Second International Workshop, IWCF 2008, Washington, DC, USA, August 7-8, 2008. Proceedings. Berlin: Springer. 2008. p. 122-134. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-85303-9_12
Author
Hughes, Daniel
; Rayson, P. ; Walkerdine, J. et al. /
Supporting Law Enforcement in Digital Communities through Natural Language Analysis. Computational Forensics : Second International Workshop, IWCF 2008, Washington, DC, USA, August 7-8, 2008. Proceedings. editor / Sargur N. Srihari ; Katrin Franke. Berlin : Springer, 2008. pp. 122-134 (Lecture Notes in Computer Science).
Bibtex
@inproceedings{881459fdf3e04c9a936a45bebfbf72af,
title = "Supporting Law Enforcement in Digital Communities through Natural Language Analysis",
abstract = "Recent years have seen an explosion in the number and scale of digital communities (e.g. peer-to-peer file sharing systems, chat applications and social networking sites). Unfortunately, digital communities are host to significant criminal activity including copyright infringement, identity theft and child sexual abuse. Combating this growing level of crime is problematic due to the ever increasing scale of today{\textquoteright}s digital communities. This paper presents an approach to provide automated support for the detection of child sexual abuse related activities in digital communities. Specifically, we analyze the characteristics of child sexual abuse media distribution in P2P file sharing networks and carry out an exploratory study to show that corpus-based natural language analysis may be used to automate the detection of this activity. We then give an overview of how this approach can be extended to police chat and social networking communities.",
author = "Daniel Hughes and P. Rayson and J. Walkerdine and K. Lee and P. Greenwood and A. Rashid and Corinne May-Chahal and M. Brennan",
year = "2008",
doi = "10.1007/978-3-540-85303-9_12",
language = "English",
isbn = "978-3-540-85302-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "122--134",
editor = "Srihari, {Sargur N. } and Franke, {Katrin }",
booktitle = "Computational Forensics",
note = "2nd International Workshop on Computational Forensics (IWCF 2008) ; Conference date: 07-08-2008 Through 08-08-2008",
}
RIS
TY - GEN
T1 - Supporting Law Enforcement in Digital Communities through Natural Language Analysis
AU - Hughes, Daniel
AU - Rayson, P.
AU - Walkerdine, J.
AU - Lee, K.
AU - Greenwood, P.
AU - Rashid, A.
AU - May-Chahal, Corinne
AU - Brennan, M.
PY - 2008
Y1 - 2008
N2 - Recent years have seen an explosion in the number and scale of digital communities (e.g. peer-to-peer file sharing systems, chat applications and social networking sites). Unfortunately, digital communities are host to significant criminal activity including copyright infringement, identity theft and child sexual abuse. Combating this growing level of crime is problematic due to the ever increasing scale of today’s digital communities. This paper presents an approach to provide automated support for the detection of child sexual abuse related activities in digital communities. Specifically, we analyze the characteristics of child sexual abuse media distribution in P2P file sharing networks and carry out an exploratory study to show that corpus-based natural language analysis may be used to automate the detection of this activity. We then give an overview of how this approach can be extended to police chat and social networking communities.
AB - Recent years have seen an explosion in the number and scale of digital communities (e.g. peer-to-peer file sharing systems, chat applications and social networking sites). Unfortunately, digital communities are host to significant criminal activity including copyright infringement, identity theft and child sexual abuse. Combating this growing level of crime is problematic due to the ever increasing scale of today’s digital communities. This paper presents an approach to provide automated support for the detection of child sexual abuse related activities in digital communities. Specifically, we analyze the characteristics of child sexual abuse media distribution in P2P file sharing networks and carry out an exploratory study to show that corpus-based natural language analysis may be used to automate the detection of this activity. We then give an overview of how this approach can be extended to police chat and social networking communities.
U2 - 10.1007/978-3-540-85303-9_12
DO - 10.1007/978-3-540-85303-9_12
M3 - Conference contribution/Paper
SN - 978-3-540-85302-2
T3 - Lecture Notes in Computer Science
SP - 122
EP - 134
BT - Computational Forensics
A2 - Srihari, Sargur N.
A2 - Franke, Katrin
PB - Springer
CY - Berlin
T2 - 2nd International Workshop on Computational Forensics (IWCF 2008)
Y2 - 7 August 2008 through 8 August 2008
ER -
