Researchers have developed a new dataset and methodology to analyze online scam trends and their progression over time, using self-disclosure narratives from Reddit between 2023 and 2025. The study collected over 21,000 posts, with 1,800 posts further annotated using an LLM-assisted approach to understand scam path complexity. Findings indicate that scams are typically multi-rail, with different scam types and components dominating across the years, and that community support behaviors in comments have become more detailed over time. This work aims to support synthetic scam data simulation and AI-related scam risk assessment. AI
RANK_REASON The cluster contains an academic paper published on arXiv detailing a new dataset and methodology for analyzing scam trends.
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