Published Paper Details:

This research presents a decentralized platform that combines artificial intelligence with blockchain technology to combat fake news. Our proposed system leverages a Web3 architecture to create transparent verification processes while ensuring data privacy through federated learning. Experimental results demonstrate 92% accuracy in detecting misinformation using multimodal deep learning models, with verification results immutably stored on blockchain. The platform's decentralized voting mechanism successfully identified and corrected AI misclassifications in over 92% of contested cases, even with significant adversarial participation. Blockchain integration provides unprecedented transparency in the verification process, addressing trust deficits in traditional fact-checking systems. While technical users showed high adoption rates, interface simplification remains necessary for broader public participation. This framework represents a significant advancement in combating misinformation by combining AI capabilities with blockchain transparency.