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.
%0 Journal Article
%1 Akiki2022-uj
%A Akiki, Christopher
%A Gienapp, Lukas
%A Potthast, Martin
%D 2022
%I arXiv
%K
%T Tracking Discourse Influence in Darknet Forums
%X 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.
@article{Akiki2022-uj,
abstract = {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.},
added-at = {2024-09-10T11:56:37.000+0200},
author = {Akiki, Christopher and Gienapp, Lukas and Potthast, Martin},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/259c142c242c98794ba9b1c6ab38ef1b7/scadsfct},
interhash = {c52adcef7faa21c296816946a6b5a1d8},
intrahash = {59c142c242c98794ba9b1c6ab38ef1b7},
keywords = {},
publisher = {arXiv},
timestamp = {2024-09-10T15:15:57.000+0200},
title = {Tracking Discourse Influence in Darknet Forums},
year = 2022
}