%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 }