An Explainable Classifier Using Diffusion Dynamics for Misinformation Detection on Twitter

Arghya Kundu, Uyen Nguyen

2024

Abstract

Misinformation, often spread via social media, can cause panic and social unrest, making its detection crucial. Automated detection models have emerged, using methods like text mining, usage of social media user properties, and propagation pattern analysis. However, most of these models do not effectively use the diffusion pattern of the information and are essentially black boxes, and thus are often uninterpretable. This paper proposes an ensemble based classifier with high accuracy for misinformation detection using the diffusion pattern of a post in Twitter. Additionally, the particular design of the classifier enables intrinsic explainability. Furthermore, in addition to using different temporal and spatial properties of diffusion cascades this paper introduces features motivated from the science behind the spread of an infectious disease in epidemiology, specially from recent studies conducted for the analysis of the COVID-19 pandemic. Finally, this paper presents the results of the comparison of the classifier with baseline models and quantitative evaluation of the explainability.

Paper Citation

in Harvard Style

Kundu A. and Nguyen U. (2024). An Explainable Classifier Using Diffusion Dynamics for Misinformation Detection on Twitter. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-716-0, SciTePress, pages 348-357. DOI: 10.5220/0012990700003838

in Bibtex Style

@conference{kdir24,
author={Arghya Kundu and Uyen Nguyen},
title={An Explainable Classifier Using Diffusion Dynamics for Misinformation Detection on Twitter},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2024},
pages={348-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012990700003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - An Explainable Classifier Using Diffusion Dynamics for Misinformation Detection on Twitter
SN - 978-989-758-716-0
AU - Kundu A.
AU - Nguyen U.
PY - 2024
SP - 348
EP - 357
DO - 10.5220/0012990700003838
PB - SciTePress