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Scamming the Scammers: Towards Automatic Detection of Persuasion in Advance Fee Frauds.

, , and . WWW (Companion Volume), page 1291-1299. ACM, (2017)

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Conversation Level Constraints on Pedophile Detection in Chat Rooms., , , and . CLEF (Online Working Notes/Labs/Workshop), volume 1178 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach., , , , and . EuroS&P Workshops, page 227-238. IEEE, (2021)Scoping the Cyber Security Body of Knowledge., , , , , , and . IEEE Secur. Priv., 16 (3): 96-102 (2018)Detecting deceptive behaviour in the wild: text mining for online child protection in the presence of noisy and adversarial social media communications.. Lancaster University, UK, (2018)British Library, EThOS.Predicting age and gender in online social networks., , and . SMUC, page 37-44. ACM, (2011)The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language., , , , , , , , and . LREC, page 1569-1572. European Language Resources Association (ELRA), (2012)Ethical and Social Challenges with developing Automated Methods to Detect and Warn potential victims of Mass-marketing Fraud (MMF)., , , , , , , and . WWW (Companion Volume), page 1311-1314. ACM, (2017)Automatically Dismantling Online Dating Fraud., , , , , and . CoRR, (2019)AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet., , , , and . IEEE BigData, page 2516-2524. IEEE, (2021)Scamming the Scammers: Towards Automatic Detection of Persuasion in Advance Fee Frauds., , and . WWW (Companion Volume), page 1291-1299. ACM, (2017)