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 Antônio Diogo Martins(diogo.martins@lsbd.ufc.br)
2 Lucas Cabral(lucascabral@arilab.dc.ufc.br)
3 Ivandro de Sá(ivandroclaudino@aridalab.dc.ufc.br)
4 Pedro Mourão(pedro.mourao@aluno.uece.br)
5 José Monteiro(jose.monteiro@lsbd.ufc.br)
6 Javam Machado(javam.machado@lsbd.ufc.br)

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

Reference
# Reference
1 Cabral, L., Monteiro, J. M., da Silva, J. W. F., Mattos, C. L. C., and Mour ̃ao, P. J. C.(2021). Fakewhastapp.br: NLP and machine learning techniques for misinformationdetection in brazilian portuguese whatsapp messages. InProceedings of the 23rd Inter-national Conference on Enterprise Information Systems, ICEIS 2021, Online Stream-ing, April 26-28, 2021, Volume 1, pages 63–74. SCITEPRESS.
2 de S ́a, I. C., Monteiro, J. M., da Silva, J. W. F., Medeiros, L. M., Mour ̃ao, P. J. C.,and da Cunha, L. C. C. (2021). Digital lighthouse: A platform for monitoring publicgroups in whatsapp. InProceedings of the 23rd International Conference on EnterpriseInformation Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 1,pages 297–304. SCITEPRESS.
3 Gaglani, J., Gandhi, Y., Gogate, S., and Halbe, A. (2020). Unsupervised whatsapp fakenews detection using semantic search. In2020 4th International Conference on Intel-ligent Computing and Control Systems (ICICCS), pages 285–289. IEEE.
4 Garimella, K. and Tyson, G. (2018). Whatsapp, doc? a first look at whatsapp public groupdata.arXiv preprint arXiv:1804.01473.
5 Guo, B., Ding, Y., Yao, L., Liang, Y., and Yu, Z. (2019). The future of misinformationdetection: New perspectives and trends.
6 Machado, C., Kira, B., Narayanan, V., Kollanyi, B., and Howard, P. (2019). A studyof misinformation in whatsapp groups with a focus on the brazilian presidential elec-tions. WWW ’19, page 1013–1019, New York, NY, USA. Association for ComputingMachinery.
7 Martins, A. D. F., Cabral, L., Chaves Mour ̃ao, P. J., Monteiro, J. M., and Machado, J.(2021). Detection of misinformation about covid-19 in brazilian portuguese whatsappmessages. InNatural Language Processing and Information Systems, pages 199–206,Cham. Springer International Publishing.
8 Qiu, X., Oliveira, D. F., Shirazi, A. S., Flammini, A., and Menczer, F. (2017). Limitedindividual attention and online virality of low-quality information.Nature HumanBehaviour, 1(7):0132.
9 Resende, G., Melo, P., Sousa, H., Messias, J., Vasconcelos, M., Almeida, J., and Ben-evenuto, F. (2019). (mis)information dissemination in whatsapp: Gathering, analyzingand countermeasures.
10 Resende, G., Messias, J., Silva, M., Almeida, J., Vasconcelos, M., and Benevenuto, F.(2018). A system for monitoring public political groups in whatsapp. InProceedingsof the 24th Brazilian Symposium on Multimedia and the Web, WebMedia ’18, page387–390, New York, NY, USA. Association for Computing Machinery.
11 Rubin, V. L., Chen, Y., and Conroy, N. K. (2015). Deception detection for news: threetypes of fakes.Proceedings of the Association for Information Science and Technology,52(1):1–4.
12 Silva, R. M., Santos, R. L., Almeida, T. A., and Pardo, T. A. (2020). Towards automati-cally filtering fake news in portuguese.Expert Systems with Applications, 146:113199.
13 Su, Q., Wan, M., Liu, X., and Huang, C.-R. (2020). Motivations, methods and metricsof misinformation detection: An nlp perspective.Natural Language Processing Re-search, 1:1–13.
14 Vosoughi, S., Roy, D., and Aral, S. (2018). The spread of true and false news online.Science, 359:1146–1151.