Tracking Discourse Influence in Darknet Forums
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 15 references that are in the map. First posted on arXiv 4 Feb 2022.
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References · 6
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,898
- 2018Universal Sentence Encodercited by 489
- 2020Bringing UMAP Closer to the Speed of Light with GPU Accelerationcited by 19
- 2017Individuals, Institutions, and Innovation in the Debates of the French Revolutioncited by 10
- 2020De-Anonymizing Text by Fingerprinting Language Generationcited by 3
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