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Multimodal fake news detection has attracted many research interests in social forensics.
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Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media
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Spotfake+: A multimodal framework for fake news detection via transfer learning (student abstract). In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 34. 13915–13916
Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, and Ponnurangam Kumaraguru. 2020 · 2020
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Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues. In Proceedings of the 29th ACM International Conference on Multimedia . 1212–1220
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Multimodal Fusion with Co-Attention Networks for Fake News Detection. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 . 2560–2569
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Detecting fake news by exploring the consistency of multimodal data
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A case study of the shortcut effects in visual commonsense reasoning. In Proceedings of the AAAI conference on artificial intelligence , Vol. 35. 3181–3189
Keren Ye and Adriana Kovashka. 2021 · 2021
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Mining dual emotion for fake news detection. In Proceedings of the Web Conference 2021 . 3465–3476
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu. 2021 · 2021
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Cross-modal Ambiguity Learning for Multimodal Fake News Detection. In Proceedings of the ACM Web Conference 2022 . 2897–2905
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, and Li Shang. 2022 · 2022
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Leveraging Intra and Inter Modality Relationship for Multimodal Fake News Detection
Shivangi Singhal, Tanisha Pandey, Saksham Mrig, Rajiv Ratn Shah, and Ponnurangam Kumaraguru. 2022 · 2022
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