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English Information

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Authors
# Name
1 Adriel Mori(adrielmori@discente.ufg.br)
2 Eliomar Lima(eliomar.lima@ufg.br)
3 Valdemar Graciano-Neto(valdemarneto@ufg.br)
4 Jacson Barbosa(jacson_rodrigues@ufg.br)
5 Rogerio Carvalho(rogerionrc@gmail.com)
6 Arlindo Galvão Filho(arlindogalvao@ufg.br)

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Reference
# Reference
1 Apostolidis, E., Adamantidou, E., Metsai, A. I., Mezaris, V., and Patras, I. (2021). Video summarization using deep neural networks: A survey. Proceedings of the IEEE, 109(11):1838–1863.
2 Atrey, P. K., Hossain, M. A., El Saddik, A., and Kankanhalli, M. S. (2010). Multimodal fusion for multimedia analysis: a survey. Multimedia Systems, 16:345–379.
3 Bai, S., Chen, K., Liu, X., Wang, J., Ge, W., Song, S., Dang, K., Wang, P., Wang, S., Tang, J., Zhong, H., Zhu, Y., Yang, M., Li, Z., Wan, J., Wang, P., Ding, W., Fu, Z., Xu, Y., Ye, J., Zhang, X., Xie, T., Cheng, Z., Zhang, H., Yang, Z., Xu, H., and Lin, J. (2025). Qwen2.5-VL technical report. arXiv preprint arXiv:2502.13923.
4 Baltrusaitis, T., Ahuja, C., and Morency, L.-P. (2018). Multimodal machine learning: A survey and taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(2):423–443.
5 Bouchey, B., Castek, J., and Thygeson, J. (2021). Multimodal learning. Innovative Learning Environments in STEM Higher Education: Opportunities, Challenges, and Looking Forward, pages 35–54.
6 Bu, Y., Sheng, Q., Cao, J., Qi, P., Wang, D., and Li, J. (2024). FakingRecipe: Detecting fake news on short video platforms from the perspective of creative process. In Proceedings of the 32nd ACM International Conference on Multimedia (MM ’24), pages 1351–1360. Accessed: 2026-03-28.
7 Dvornik, M., Hadji, I., Derpanis, K. G., Garg, A., and Jepson, A. (2021). Drop-DTW: Aligning common signal between sequences while dropping outliers. Advances in Neural Information Processing Systems, 34:13782–13793.
8 Golo, M. P. S., Mori, A. L. V., Oliveira, W. G., Barbosa, J. R., Graciano Neto, V. V., Lima, E. A. d., and Marcacini, R. M. (2024). On the use of large language models to detect Brazilian politics fake news. Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC).
9 Hua, J., Cui, X., Li, X., Tang, K., and Zhu, P. (2023). Multimodal fake news detection through data augmentation-based contrastive learning. Applied Soft Computing, 136:110125.
10 Jing, J., Wu, H., Sun, J., Fang, X., and Zhang, H. (2023). Multimodal fake news detection via progressive fusion networks. Information Processing & Management, 60:103120.
11 Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., et al. (2018). The science of fake news. Science, 359(6380):1094–1096.
12 Ren, S., Liu, Y., Zhu, Y., Bing, W., Ma, H., and Wang, W. (2024). MMSFD: Multi-grained and multi-modal fusion for short video fake news detection. In Proceedings of the 7th International Conference on Data Science and Information Technology (DSIT 2024), pages 1–11. Accessed: 2026-03-28.
13 Rodrigues, T. M., Bonone, L., and Mielli, R. (2020). Desinformação e crise da democracia no Brasil: é possível regular fake news. Confluências — Revista Interdisciplinar de Sociologia e Direito, 22(3):30–52.
14 Shang, L., Kou, Z., Zhang, Y., and Wang, D. (2021). A multimodal misinformation detector for COVID-19 short videos on TikTok. In Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), pages 899–908. Accessed: 2026-03-28.
15 Shu, K., Sliva, A., Wang, S., Tang, J., and Liu, H. (2017). Fake news detection on social media: A data mining perspective. ACM SIGKDD Explorations Newsletter, 19(1):22–36.
16 Wardle, C. and Derakhshan, H. (2017). Information Disorder: Toward an Interdisciplinary Framework for Research and Policymaking, volume 27. Council of Europe Strasbourg.
17 Wu, P., Zhan, Y., Zhang, L., Wang, Z., and Xu, Z. (2021). Multimodal fusion with co-attention networks for fake news detection. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2560–2569. Association for Computational Linguistics.