Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection
Document Type
Conference Proceeding
Publication Title
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
Abstract
The prevalence of information manipulation online has created a need for propaganda detection systems. Such systems have typically focused on the surface words, ignoring the linguistic structure. Here we aim to bridge this gap. In particular, we present the first attempt at using discourse analysis for the task. We consider both paragraph-level and token-level classification and we propose a discourse-aware Transformer architecture. Our experiments on English and Russian demonstrate sizeable performance gains compared to a number of baselines. Moreover, our ablation study emphasizes the importance of specific types of discourse features, and our in-depth analysis reveals a strong correlation between propaganda instances and discourse spans.
First Page
1452
Last Page
1462
Publication Date
1-1-2024
Recommended Citation
A. Chernyavskiy et al., "Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection," EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, vol. 1, pp. 1452 - 1462, Jan 2024.