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Found 5 papers, 1 papers with code
Global-Liar: Factuality of LLMs over Time and Geographic Regions
Our study evaluates the factual accuracy, stability, and biases in widely adopted GPT models, including GPT-3. 5 and GPT-4, contributing to reliability and integrity of AI-mediated information dissemination.
Dark Web Marketplaces and COVID-19: before the vaccine
We reveal how the online shadow economy has evolved during the COVID-19 pandemic and highlight the importance of a continuous monitoring of DWMs, especially now that real vaccines are available and in short supply.
Misinformation
Computers and Society
Social and Information Networks
Physics and Society
Empirical Analysis of Indirect Internal Conversions in Cryptocurrency Exchanges
In this paper, we build a set of methodologies to characterize and empirically measure different algorithmic trading strategies in Binance, a large centralized cryptocurrency exchange, using a complete data set of historical trades.
Towards Automatic Discovery of Cybercrime Supply Chains
Our analysis of the automatically generated supply chains demonstrates underlying connections between products and services within these forums.
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation
One weakness of machine-learned NLP models is that they typically perform poorly on out-of-domain data.
