arXiv Machine Learning By Philipp J. Schneider, Lanqin Yuan, Marian-Andrei Rizoiu

Beyond Content: Behavioral Policies Reveal Actors in Information Operations

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arXiv:2602. 02838v2 Announce Type: replace-cross Abstract: The detection of online influence operations -- coordinated campaigns by malicious actors to spread narratives -- has traditionally depended on content analysis or network features.

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arXiv Machine Learning
Sep 25

Agentic Detection of Online Conspiracies

The paper presents an agentic framework for detecting conspiratorial content in social media by inferring the speaker’s intent rather than merely identifying explicit claims. It leverages social context and adaptive tool use, demonstrating superior performance over text-only and non-agentic models on a large Hebrew tweet dataset spanning election cycles and the COVID pandemic. The study highlights the importance of context-aware, reasoning-driven approaches for accurate conspiracy detection.

By Lior Biton, Oren Tsur