The Paradigm Shift: A Comprehensive Survey on Large Vision Language Models for Multimodal Fake News Detection
How much verified proof exists for this claim
One strong evidence source: arxiv
How intriguing or unexplained this claim is
The claim involves emerging technology with some uncertainties regarding its effectiveness and future impact, but it is based on ongoing research and development, which provides a foundation of understanding.
In recent years, the rapid evolution of large vision-language models (LVLMs) has driven a paradigm shift in multimodal fake news detection (MFND), transforming it from traditional feature-engineering approaches to unified, end-to-end multimodal reasoning frameworks. Early methods primarily relied on shallow fusion techniques to capture correlations between text and images, but they struggled with high-level semantic understanding and complex cross-modal interactions. The emergence of LVLMs ha...