LLMs Are Not Enough for Multimodal Fake News Detection: Why Global Label Propagation Helps

1. 1Apply LLMs to text-based fake news detection to understand their limitations
2. 2Implement Global Label Propagation to leverage multimodal information
3. 3Configure multimodal datasets to train and evaluate fake news detection models
4. 4Test the performance of LLMs with and without Global Label Propagation
5. 5Compare the results to evaluate the effectiveness of Global Label Propagation

NLP researchers and engineers working on fake news detection can benefit from understanding the limitations of LLMs and the potential of Global Label Propagation

💡 Global Label Propagation can enhance the performance of LLMs in detecting multimodal fake news by incorporating multimodal information

🚨 LLMs alone aren't enough to detect multimodal fake news! 🤖 Global Label Propagation can help improve accuracy 📈