Graph-Based Detection of Disinformation Narrative Diffusion between Russian and Ukrainian Telegram Channels

arXiv cs.CL · 18 hours ago

Researchers developed a graph-based framework to detect disinformation narratives spreading across Russian and Ukrainian Telegram channels by combining weak supervision with propagation graph analysis. The method groups semantically related claims into narrative clusters and models their diffusion across interconnected channels to identify coordinated amplification patterns. This approach enables detection of disinformation spread at the narrative level rather than individual posts, providing insights into how false information propagates through large messaging networks.