Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation

arXiv:2403.08783v1 Announce Type: new
Abstract: Misinformation has become a major challenge in the era of increasing digital information, requiring the development of effective detection methods. We have investigated a novel approach to Out-Of-Context detection (OOCD) that uses synthetic data generation. We created a dataset specifically designed for OOCD and developed an efficient detector for accurate classification. Our experimental findings validate the use of synthetic data generation and demonstrate its efficacy in addressing the data limitations associated with OOCD. The dataset …

abstract arxiv become challenge context cs.ai cs.cl cs.cv data dataset detection detection methods development digital digital information image information major misinformation multimodal novel synthetic synthetic data text type