Factify-2.0

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https://aiisc.ai/defactify2/factify.html

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# Factify-2.0
https://aiisc.ai/defactify2/factify.html

https://codalab.lisn.upsaclay.fr/competitions/8275
<h3>Overview</h3>
<p>A Multi-Modal Fact Verification dataset released as part of the <a href="https://aiisc.ai/defactify2/">De-Factify 2 workshop</a> in AAAI-23</p>
<p>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.</p>
<h3>Dataset</h3>
<p><img style="height: 15vh;" src="https://aiisc.ai/defactify/img/factify_logo.png" alt="" /></p>
<p>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.</p>
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<h3>Participation</h3>
<p>Registered participants will be able to download the zipped dataset from the Participate &gt; Files tab. Please ensure you fill this form when registering for the shared task: <a href="https://forms.gle/AQdhvGtU3YwknwnF8">Google Form</a>. We thank you for your participation and best of luck! For more information or in case of issues/queries please mail us at <a href="mailto:defactifyaaai@gmail.com">defactifyaaai@gmail.com</a></p>

Factify-2.0

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