Visual Methods for Network Analytics of Echo Chamber: A Case Study of Thailand’s General Election 2023

Isariyaporn Sukcharoenchaikul, Puripant Ruchikachorn

2025

Abstract

This research develops visual methods to study the echo chamber effect through a case study on Thai-land’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.

Paper Citation

in Harvard Style

Sukcharoenchaikul I. and Ruchikachorn P. (2025). Visual Methods for Network Analytics of Echo Chamber: A Case Study of Thailand’s General Election 2023. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0, SciTePress, pages 374-381. DOI: 10.5220/0013508900003967

in Bibtex Style

@conference{data25,
author={Isariyaporn Sukcharoenchaikul and Puripant Ruchikachorn},
title={Visual Methods for Network Analytics of Echo Chamber: A Case Study of Thailand’s General Election 2023},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={374-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013508900003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Visual Methods for Network Analytics of Echo Chamber: A Case Study of Thailand’s General Election 2023
SN - 978-989-758-758-0
AU - Sukcharoenchaikul I.
AU - Ruchikachorn P.
PY - 2025
SP - 374
EP - 381
DO - 10.5220/0013508900003967
PB - SciTePress