A contrastive-learning and LLM-based multimodal model reports 88.9% accuracy on Fakeddit, slightly ahead of smaller baselines but with an unclear role for the contrastive component.
Deepfake: An overview
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A Self-Learning Multimodal Approach for Fake News Detection
A contrastive-learning and LLM-based multimodal model reports 88.9% accuracy on Fakeddit, slightly ahead of smaller baselines but with an unclear role for the contrastive component.