Bridging the Narrative Divide: Cross-Platform Discourse Networks in Fragmented Ecosystems
Patrick Gerard, Hans W. A. Hanley, Luca Luceri, Emilio Ferrara

TL;DR
This paper introduces a platform-agnostic framework for reconstructing social graphs and tracking narrative spread across social media platforms, enabling better understanding of information dynamics in fragmented ecosystems.
Contribution
The authors develop a novel, platform-agnostic method that accurately reconstructs social networks and detects narratives across platforms, outperforming existing strategies with less data.
Findings
Identifies a small group of bridge users responsible for most narrative migration.
Reveals nearly 70% of migrating narratives originate from just 0.33% of users.
Demonstrates state-of-the-art performance in network tasks with less data.
Abstract
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…
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Taxonomy
TopicsMisinformation and Its Impacts · Hate Speech and Cyberbullying Detection · Social Media and Politics
