@inproceedings{a0784f2397904e388fb7d8d9fbeea3da,
title = "DarkJargon.net: A Platform for Understanding Underground Conversation with Latent Meaning",
abstract = "An essential part of underground conversation are dark jargon terms. They are benign-looking, but have hidden, sometimes sinister meanings and are used by participants of underground forums for illicit behavior. For example, the dark term {"}rat{"}is often used in lieu of {"}Remote Access Trojan{"}. We present a novel online platform that caters to the understating of underground conversation with latent meaning. Our system enables researchers, law enforcement agents and {"}white-hat{"}hackers to gain invaluable insights into underground communication by providing them with a tool to (1) look-up dark jargon terms in a dictionary; (2) explore the usage of dark jargon over time and interpret their meaning; (3) collaborate and contribute their own research findings. Furthermore, we introduce a novel dark jargon interpretation method that leverages masked language modeling of a transformer-based architecture.",
keywords = "dark jargon interpretation, dark net, underground forum",
author = "Dominic Seyler and Wei Liu and Yunan Zhang and Wang, {Xiao Feng} and Zhai, {Cheng Xiang}",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021 ; Conference date: 11-07-2021 Through 15-07-2021",
year = "2021",
month = jul,
day = "11",
doi = "10.1145/3404835.3462801",
language = "English (US)",
series = "SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery",
pages = "2526--2530",
booktitle = "SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval",
address = "United States",
}