A Multimodal Fake News Detection Model with Self-supervised Unimodal Label Generation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5603-2_11
Reference27 articles.
1. Shu, K., Sliva, A., Wang, S., Tang, J., Liu, H.: Fake news detection on social media: a data mining perspective. ACM SIGKDD Explor. Newsl. 19(1), 22–36 (2017)
2. Pathak, A., Srihari, R.K.: BREAKING! Presenting fake news corpus for automated fact checking. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pp. 357–362, July 2019
3. Himdi, H., Weir, G., Assiri, F., Al-Barhamtoshy, H.: Arabic fake news detection based on textual analysis. Arab. J. Sci. Eng. 47(8), 10453–10469 (2022)
4. Segura-Bedmar, I., Alonso-Bartolome, S.: Multimodal fake news detection. Information 13(6), 284 (2022)
5. Chen, Y., et al.: Cross-modal ambiguity learning for multimodal fake news detection. In: Proceedings of the ACM Web Conference 2022, pp. 2897–2905, April 2022
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