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Predicting age and gender in online social networks
TLDR
This paper presents an exploratory study in which we apply a text categorization approach for the prediction of age and gender on a corpus of chat texts, which we collected from the Belgian social networking site Netlog. Expand
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iCOP: Automatically Identifying New Child Abuse Media in P2P Networks
TLDR
The increasing levels of child sex abuse (CSA) media being shared in peer-to-peer (P2P) networks pose a significant challenge for law enforcement agencies. Expand
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Conversation Level Constraints on Pedophile Detection in Chat Rooms
TLDR
In this paper we present a new approach for detecting online pedophiles in chat rooms that combines the results of predictions on the level of the individual post, the levels of the user and thelevel of the entire conversation, and describe the results in the PAN 2012 competition. Expand
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Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification
TLDR
We present a system to automatically identify emotion-carrying sentences in suicide notes and to detect the specific fine-grained emotion conveyed. Expand
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iCOP: Live forensics to reveal previously unknown criminal media on P2P networks
TLDR
iCOP: Live forensics to reveal previously unknown criminal media on P2P networks journaltitle: Digital Investigation articlelink: http://dx.doi.org/10.1016/j.diin.2016.07.002 content_type: article copyright: © 2016 The Authors. Expand
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The Effects of Age, Gender and Region on Non-standard Linguistic Variation in Online Social Networks
TLDR
We present a corpus-based analysis of the effects of age, gender and region of origin on the production of both "netspeak" or "chatspeak" features and regional speech features in Flemish Dutch posts that were collected from a Belgian online social network platform. Expand
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Detecting deceptive behaviour in the wild:text mining for online child protection in the presence of noisy and adversarial social media communications
TLDR
A real-life application of text mining research “in the wild”, i.e. in online social media, differs from more general applications in that its defining characteristics are both domain and process dependent. Expand
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Scoping the Cyber Security Body of Knowledge
TLDR
Cybersecurity is becoming an important element in curricula at all education levels. Expand
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The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language
TLDR
We present a large corpus of Flemish Dutch chat posts that were collected from the Belgian online social network Netlog. Expand
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Automatically Dismantling Online Dating Fraud
TLDR
We develop a system to detect romance scammers on online dating platforms. Expand
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