ChatCoder: Toward the tracking and categorization of internet predators. Kontostathis, A., Edwards, L., & Leatherman, A. Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics, 3(January 2009):1327–1334, 2009. ISBN: 9781615671090abstract bibtex In this paper we describe the preliminary results from a new research project which studies the communicative styles of online sexual predators. These pedophiles approach children via Internet technologies, such as instant messaging or chat rooms. This article presents the software we used to facilitate analysis of chat log transcripts to develop a communicative theory of online predation. Our preliminary experimental results show that text mining of chat log transcripts can be used to detect Internet predators. We also use k-means clustering to identify four different styles of online predation communications. This article describes work in progress on this vexing problem, not definitive solutions. We hope that the topic will generate discussion at the workshop, and this discussion will be used to inform our future research activities.
@article{kontostathis_chatcoder_2009,
title = {{ChatCoder}: {Toward} the tracking and categorization of internet predators},
volume = {3},
abstract = {In this paper we describe the preliminary results from a new research project which studies the communicative styles of online sexual predators. These pedophiles approach children via Internet technologies, such as instant messaging or chat rooms. This article presents the software we used to facilitate analysis of chat log transcripts to develop a communicative theory of online predation. Our preliminary experimental results show that text mining of chat log transcripts can be used to detect Internet predators. We also use k-means clustering to identify four different styles of online predation communications. This article describes work in progress on this vexing problem, not definitive solutions. We hope that the topic will generate discussion at the workshop, and this discussion will be used to inform our future research activities.},
number = {January 2009},
journal = {Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics},
author = {Kontostathis, April and Edwards, Lynne and Leatherman, Amanda},
year = {2009},
note = {ISBN: 9781615671090},
pages = {1327--1334},
}
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