Cheapfake is a recently coined term that encompasses non-AI ("cheap") manipulations of multimedia content. Cheapfakes are known to be
more prevalent than deepfakes. Cheapfake media can be created using editing software for image/video manipulations, or even without
using any software, by simply altering the context of an image/video by sharing the media alongside misleading claims. This alteration
of context is referred to as out-of-context (OOC) misuse of media. OOC media is much harder to detect than fake media, since the images
and videos are not tampered. In this challenge, we focus on detecting OOC images, and more specifically the misuse of real photographs
with conflicting image captions in news items. The aim of this challenge is to develop and benchmark models that can be used to detect
whether given samples (news image and associated captions) are OOC, based on the recently compiled COSMOS dataset.