Graph-based framework detects disinformation diffusion on Telegram

Researchers have developed a novel graph-based framework to detect and analyze disinformation narratives spreading across Russian and Ukrainian Telegram channels. This approach combines weak supervision with propagation graph analysis to aggregate semantically related claims into narrative clusters and model their diffusion. By integrating textual signals with network structure, the method offers a scalable way to identify coordinated amplification and understand how disinformation propagates in large messaging environments. AI

IMPACT Provides a scalable method for detecting disinformation narratives and understanding their propagation on messaging platforms.

RANK_REASON The cluster contains a research paper detailing a new methodology for detecting disinformation. [lever_c_demoted from research: ic=1 ai=1.0]

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