3 accepted papers
Multi-modal fake news detection (MFND) has attracted increasing attention. However, due to information loading failure or access restriction, incomplete modality makes joint multi-modal information extraction be challenging. Existing MFND methods with missing-modality focus on specific missing-modal…
With the development of multimedia technology, online social media has become a major medium for people to access news, but meanwhile, it has also exacerbated the dissemination of multi-modal fake news. An automatic and efficient multi-modal fake news detection (MFND) method is urgently needed. Exis…
Traditional unsupervised multi-source domain adaptation usually assumes that all source domain data can be utilized during training. Unfortunately, due to practical concerns such as privacy, data storage, and computational costs, data from different source domains are often isolated from each other.…