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Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns

arXiv cs.LG · 2026-07-08 Cached

Proposes TENSOR, an unsupervised anomaly detection method for identifying information operations users by analyzing temporal behavioral and language patterns using temporal point processes and LLM responses. Outperforms baselines on five real-world datasets.

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