The rise of the internet and social media has made it easy to spread misinformation, resulting in a large impact on society. Furthermore, while the emergence of large language models (LLMs) brings hope to detection efforts, it also facilitates the generation of false information, making such content increasingly indistinguishable from reality. Therefore, there is an increasing urgency for further research on misinformation detection in the era of LLMs. In this workshop, we explore the potential of LLMs to address complex mis/disinformation detection issues and facilitate discussions on the current state and future directions in misinformation detection and understanding, and drive the development of comprehensive frameworks that address the multifaceted nature of misinformation detection challenges.

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