This technical report documents our efforts in addressing the tasks set forth by the 2021 AMoC (Advanced Modelling of Cyber Criminal Careers) Hackathon. Our main contribution is a joint visualisation of semantic and temporal features, generating insight into the supplied data on darknet cybercrime through the aspects of novelty, transience, and resonance, which describe the potential impact a message might have on the overall discourse in darknet communities. All code and data produced by us as part of this hackathon is publicly available.
Cite
@article{arxiv.2202.02081,
title = {Tracking Discourse Influence in Darknet Forums},
author = {Christopher Akiki and Lukas Gienapp and Martin Potthast},
journal= {arXiv preprint arXiv:2202.02081},
year = {2022}
}
Comments
Submitted as an entry by Leipzig University's TEMIR group to the Bristol Cyber Security Group's AMoC (Advanced Modelling of Cyber Criminal Careers) project hackathon