Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
Sahar Abdelnabi, Rakibul Hasan, Mario Fritz
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Abstract
Misinformation is now a major problem due to its poten-tial high risks to our core democratic and societal values and orders. Out-of-context misinformation is one of the easiest and effective ways used by adversaries to spread vi-ral false stories. In this threat, a real image is re-purposed to support other narratives by misrepresenting its context and/or elements. The internet is being used as the go-to way to verify information using different sources and modali-ties. Our goal is an inspectable method that automates this time-consuming and reasoning-intensive process by fact-checking the image-caption pairing using Web evidence. To integrate evidence and cues from both modalities, we intro-duce the concept of ‘multi-modal cycle-consistency check’ starting from the image/caption, we gath