DiG-MFV: Dual-integrated Graph for Multilingual Fact Verification

DiG-MFV: Dual-integrated Graph for Multilingual Fact Verification

fact verification; graph fusion; LaBSE; multilingual model; mBERT; political claim; XLM-R

The proliferation of misinformation in political domains, especially across multilingual platforms, presents a major challenge to maintaining public information integrity. Existing models often fail to effectively verify claims when the evidence spans multiple languages and lacks a structured format. To address this issue, this study proposes a novel architecture called Dual-integrated Graph for Multilingual Fact Verification (DiG-MFV), which combines semantic representations from multilingual language models (i.e., mBERT, XLM-R, and LaBSE) with two graph-based components: an evidence graph and a semantic fusion graph. These components are processed through a dual-path architecture that integrates the outputs from a text encoder and a graph encoder, enablingdeeper semantic alignment and cross-evidence reasoning. The PolitiFact dataset was used as the source of claims and evidence. The model was evaluated by using a data split of 70% for training, 20% for validation, and10% for testing. The training process employed the AdamW optimizer, cross-entropy loss, and regularization techniques, including dropout and early stopping based on the F1-score. The evaluation results show that DiG-MFV with LaBSE achieved an accuracy of 85.80% and an F1-score of 85.70%, outperforming the mBERT and XLM-R variants, and proved to be more effective than the DGMFP baseline model (76.1% accuracy). The model also demonstrated stable convergence during training, indicating its robustness in cross-lingual political fact verification tasks. These findings encourage further exploration in graph-based multilingual fact verification systems.

Nova Agustina1*, Kusrini2, Ema Utami3, Tonny Hidayat4

https://jurnal.iaii.or.id/index.php/RESTI/article/view/6695/1104

Department of Informatics Doctorate, Universitas Amikom Yogyakarta, Yogyakarta, Indonesia

July 27, 2025

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