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

> Source: <https://arxiv.org/abs/2607.11894>
> Published: 2026-07-15 04:00:00+00:00

arXiv:2607.11894v1 Announce Type: new
Abstract: Detecting disinformation narratives on social media is challenging due to the scale of amplification, rapid evolution, and linguistic variability of online content. We propose a graph-based framework for identifying and analyzing disinformation narratives in Telegram ecosystems by combining weak supervision with propagation graph analysis. The approach aggregates semantically related claims into narrative-level clusters and models their diffusion across interconnected channels. This enables the detection of coordinated narrative amplification that is difficult to capture through post-level analysis alone. Our results demonstrate that integrating textual signals with network structure provides a scalable method for detecting disinformation narratives and offers insights into how they propagate within large-scale messaging environments.