Visual Methods for Network Analytics of Echo Chamber: A Case Study of Thailand’s General Election 2023
I. Sukcharoenchaikul and P. Ruchikachorn, Visual Methods for Network Analytics of Echo Chamber: A Case Study of Thailand’s General Election 2023, DATA, Bilbao, Spain, 2025.
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This research develops visual methods to study the echo chamber effect through a case study on Thailand’s 2023 General Election. Using visualization techniques like node-link diagrams, t-SNE projections, and heatmaps, it examines homophilic relationships, clustering, and polarization in online communities. To minimize inaccuracies and biases, network graphs are created from contextual analysis of user-generated content, rather than relying on predefined relationships like friendships or followers. The study applies the Echo Chamber Score (ECS) with visualizations to explore variations in analytical methods and how they capture different aspects of echo chambers. Additionally, it illustrates how political events shape online discourse and community dynamics by linking ECS with key political milestones.