The authors release MFND, a 125k-pair multimodal fake news dataset with 11 manipulation types, and SDML, a shallow-deep multitask model that improves detection and localization over several baselines.
Caf-odnn: Com- plementary attention fusion with optimized deep neural network for multimodal fake news detection
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Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
The authors release MFND, a 125k-pair multimodal fake news dataset with 11 manipulation types, and SDML, a shallow-deep multitask model that improves detection and localization over several baselines.