Papers with Rumor spreaders
Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection (2021.findings-emnlp)
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| Challenge: | Existing rumor detection models focus on textual data to extract distinctive features, but they fail to capture the inconsistency information among the content and background knowledge. |
| Approach: | They propose to capture inconsistency semantics and content-knowledge level in a unified framework to detect rumors with multimedia content. |
| Outcome: | Extensive experiments on two public real-world datasets show that the proposed network outperforms the state-of-the-art models. |