Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection
Abstract
Rumor spreaders are increasingly utilizing multimedia content to attract the attention and trust of news consumers. Though a set of rumor detection models have exploited the multi-modal data, they seldom consider the inconsistent relationships among images and texts. Moreover, they also fail to find a powerful way to spot the inconsistency information among the post contents and background knowledge. Motivated by the intuition that rumors are more likely to have inconsistency information in semantics, a novel Knowledge-guided Dual-inconsistency network is proposed to detect rumors with multimedia contents. It can capture the inconsistent semantics at the cross-modal level and the content-knowledge level in one unified framework. Extensive experiments on two public real-world datasets demonstrate that our proposal can outperform the state-of-the-art baselines.- Anthology ID:
- 2021.findings-emnlp.122
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2021
- Month:
- November
- Year:
- 2021
- Address:
- Punta Cana, Dominican Republic
- Venue:
- Findings
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1412–1423
- Language:
- URL:
- https://aclanthology.org/2021.findings-emnlp.122
- DOI:
- 10.18653/v1/2021.findings-emnlp.122
- Cite (ACL):
- Mengzhu Sun, Xi Zhang, Jianqiang Ma, and Yazheng Liu. 2021. Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 1412–1423, Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection (Sun et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.findings-emnlp.122.pdf
- Code
- MengzSun/dual-inconsistency-rumor-detection-network