Tracking Discourse Influence in Darknet Forums

Christopher Akiki; Lukas Gienapp; Martin Potthast

REVIEW

Tracking Discourse Influence in Darknet Forums

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2202.02081 v1 pith:F7EH5FMR submitted 2022-02-04 cs.CL cs.CY

Christopher Akiki , Lukas Gienapp , Martin Potthast This is my paper

classification cs.CLcs.CY

keywords darknetdatadiscoursehackathonaddressingadvancedamocaspects

verification ladder T0 review T1 audit T2 compute T3 formal

0 comments

read the original 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.

Discussion (0). Sign in to comment.

Pith tools