# Bridging the Narrative Divide: Cross-Platform Discourse Networks in Fragmented Ecosystems

arXiv: https://arxiv.org/abs/2505.21729 · HTML: https://mlsanity.com/paper/2505.21729/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 May 2025.

## Built on by (most cited first, 2 of 2)

- [Community-Aligned Behavior Under Uncertainty: Evidence of Epistemic Stance Transfer in LLMs](https://mlsanity.com/paper/2511.17572/) (2025)
- [Unifying Models of Intergroup Hostility in Online Discourse](https://mlsanity.com/paper/2609.20808/) (2026)

## Abstract (arXiv)

Political discourse has grown increasingly fragmented across different social platforms, making it challenging to trace how narratives spread and evolve within such a fragmented information ecosystem. Reconstructing social graphs and information diffusion networks is challenging, and available strategies typically depend on platform-specific features and behavioral signals which are often incompatible across systems and increasingly restricted. To address these challenges, we present a platform-agnostic framework that allows to accurately and efficiently reconstruct the underlying social graph of users' cross-platform interactions, based on discovering latent narratives and users' participation therein. Our method achieves state-of-the-art performance in key network-based tasks: information operation detection, ideological stance prediction, and cross-platform engagement predictionunicodex2013unicodex2013while requiring significantly less data than existing alternatives and capturing a broader set of users. When applied to cross-platform information dynamics between Truth Social and X (formerly Twitter), our framework reveals a small, mixed-platform group of textitbridge users, comprising just 0.33% of users and 2.14% of posts, who introduce nearly 70% of textitmigrating narratives to the receiving platform. These findings offer a structural lens for anticipating how narratives traverse fragmented information ecosystems, with implications for cross-platform governance, content moderation, and policy interventions.