Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection (2023.acl-long)
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| Challenge: | Existing methods for multi-modal fake news detection neglect the fact that some label-specific features cannot generalize well to the testing set, thus suffering from the latent data bias. |
| Approach: | They propose a Causal intervention and Counterfactual reasoning based debiasing framework for multi-modal fake news detection that eliminates the image-only bias by deducting the direct effect of the image from the total effect on labels. |
| Outcome: | The proposed framework eliminates the psycholinguistic bias in the text and the bias of inferring news label based on only image features. |
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