https://aiisc.ai/defactify2/factify.html
https://codalab.lisn.upsaclay.fr/competitions/8275
A Multi-Modal Fact Verification dataset released as part of the De-Factify 2 workshop in AAAI-23
Combating fake news is one of the burning societal crisis. It is difficult to expose false claims before they create a lot of damage. Automatic fact/claim verification has recently become a topic of interest among diverse research communities. Research efforts and datasets on text fact verification could be found, but there is not much attention towards multi-modal or cross-modal fact-verification. This shared task encourages researchers from interdisciplinary domains working on multi-modality and/or fact-checking to come together and work on multimodal fact-checking/fact-verification.
FACTIFY is a dataset on multi-modal fact verification. It contains images, textual claim, reference textual documenta and image. The task is to classify the claims into support, not-enough-evidence and refute categories with the help of the supporting data. We aim to combat fake news in the social media era by providing this multi-modal dataset. Factify contains 50,000 claims accompanied with 100,000 images, split into training, validation and test sets.
Registered participants will be able to download the zipped dataset from the Participate > Files tab. Please ensure you fill this form when registering for the shared task: Google Form. We thank you for your participation and best of luck! For more information or in case of issues/queries please mail us at defactifyaaai@gmail.com