TENSOR detects information operation users by fusing Temporal Point Process anomaly scores with LLM-derived evidence via post-hoc adjustment, outperforming baselines on five real-world datasets.
In: ICML 2006
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Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns
TENSOR detects information operation users by fusing Temporal Point Process anomaly scores with LLM-derived evidence via post-hoc adjustment, outperforming baselines on five real-world datasets.