SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

Authors
# Name
1 Adriel Trajano(adrielferreira08@gmail.com)
2 Erlon Avelino(erlonlacerda1@gmail.com)
3 Kamily Oliveira(kamilyfacul@gmail.com)

(*) To change the order drag the item to the new position.

Reference
# Reference
1 Da San Martino, G., Yu, S., Barrón-Cedeño, A., Petrov, R., and Nakov, P. (2019). Fine-grained analysis of propaganda in news articles. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pages 5636-5646
2 Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. In Burstein, J., Doran, C., and Solorio, T., editors, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 4171-4186, Minneapolis, Minnesota. Association for Computational Linguistics
3 Kasner, Z., Zouhar, V., Schmidtová, P., Kartáč, I., Onderková, K., Plátek, O., Gkatzia, D., Mahamood, S., Dušek, O., and Balloccu, S. (2025). LLMs as span annotators: A comparative study of LLMs and humans. arXiv preprint arXiv:2504.08697.
4 Monteiro, R. A., Santos, R. L. S., Pardo, T. A. S., Almeida, T. A., Ruiz, E. E. S., and Vale, O. A. (2018). Contributions to the study of fake news in portuguese: New corpus and automatic detection results. In Proceedings of the 13th International Conference on Computational Processing of the Portuguese Language, pages 324-334
5 Newman, N., Fletcher, R., Robertson, C. T., Ross Arguedas, A., and Nielsen, R. K. (2024). Reuters institute digital news report 2024. Technical report, Reuters Institute for the Study of Journalism, University of Oxford
6 Oshikawa, R., Qian, J., and Wang, W. Y. (2020). A survey on natural language processing for fake news detection. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6086-6093, Marseille, France. European Language Resources Association
7 Piskorski, J., Stefanovitch, N., Da San Martino, G., and Nakov, P. (2023). SemEval-2023 task 3: Detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2343-2361, Toronto, Canada. Association for Computational Linguistics
8 Resende, G., Melo, P., Sousa, H., Messias, J., Vasconcelos, M., Almeida, J. M., and Benevenuto, F. (2019). (mis)information dissemination in whatsapp: Gathering, analyzing and countermeasures. In Proceedings of The Web Conference 2019, pages 818-828
9 Tan, Z., Beigi, A., Wang, S., Guo, R., Bhattacharjee, A., Jiang, B., Karami, M., Li, J., Cheng, L., and Liu, H. (2024). Large language models for data annotation: A survey. arXiv preprint arXiv:2402.13446
10 Wardle, C. and Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policy making. Technical report, Council of Europe
11 World Economic Forum (2024). The global risks report 2024. Technical report, World Economic Forum