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A self-learning multimodal approach for fake news detection.
1School of Computer Science, Chengdu University of Information Technology, Chengdu, China.
Frontiers in Artificial Intelligence
|November 24, 2025
Summary
Detecting fake news is challenging due to limited data. This study introduces a self-learning multimodal model using contrastive learning and Large Language Models (LLMs) for effective fake news classification.
Area of Science:
- Artificial Intelligence
- Natural Language Processing
- Computer Vision
Background:
- Social media fuels the spread of misinformation, often combining text and images.
- Existing fake news detection methods struggle with a lack of labeled datasets.
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