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

1. 1Apply LLMs to text-based fake news detection tasks to understand their capabilities and limitations
2. 2Configure a multimodal dataset with text, images, and other media to test LLMs' performance
3. 3Test the performance of LLMs on the multimodal dataset to identify areas for improvement
4. 4Implement Global Label Propagation to enhance the accuracy of fake news detection
5. 5Evaluate the results of Global Label Propagation and compare them to LLMs-only approach

Data scientists and AI engineers working on fake news detection tasks can benefit from understanding the limitations of LLMs and the potential of Global Label Propagation

💡 LLMs have limitations in multimodal fake news detection, but Global Label Propagation can improve results by incorporating additional modalities

🚨 LLMs alone aren't enough for multimodal fake news detection! 🤖 Global Label Propagation can help 🚀