FarolKG: Um Grafo de Conhecimento sobre Desinformação em Mensagens do WhatsApp
Resumo
A popularização das redes sociais gerou um ambiente propício para o espalhamento em massa de desinformação. Atualmente, a principal ferramenta utilizada para propagação de desinformação são os grupos públicos do WhatsApp. Neste trabalho, propomos o FarolKG, um grafo de conhecimento (KG) sobre as desinformações que são propagadas por meio dos grupos públicos do WhatsApp. A utilização do FarolKG irá facilitar a execução de consultas estruturadas envolvendo tanto os textos das mensagens quanto os seus metadados. O FarolKG será gerado por meio de um pipeline semiautomático, que coleta dados periodicamente de grupos públicos do WhatsApp, de sites populares de verificação de fatos e da DBPedia. O FarolKG permitirá a exploração avançada e a descoberta de informações, por exemplo, por meio de consultas na linguagem SPARQL. Adicionalmente, o FarolKG irá disponibilizar uma interface Web que possibilitará a construção de consultas de forma visual.
Palavras-chave:
Desinformação, WhatsApp, EKG, Ciência de Dados
Referências
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Tchechmedjiev, A., Fafalios, P., Boland, K., Gasquet, M., Zloch, M., Zapilko, B., Dietze, S., and Todorov, K. (2019). Claimskg: A knowledge graph of fact-checked claims. In Ghidini, C., Hartig, O., Maleshkova, M., Svatek, V., Cruz, I. F., Hogan, A., Song, J., Lefrançois, M., and Gandon, F., editors, The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, volume 11779 of Lecture Notes in Computer Science, pages 309–324. Springer.
van Rossum, G. (1995). Python tutorial. Technical Report CS-R9526, Centrum voor Wiskunde en Informatica (CWI), Amsterdam.
W3C (2013). SPARQL. Technical report, World Wide Web Consortium (W3C).
Yan, J., Wang, C., Cheng, W., Gao, M., and Zhou, A. (2018). A retrospective of knowledge graphs. Frontiers Comput. Sci., 12(1):55–74.
Zhou, L. and Zhang, D. (2004). Building a misinformation ontology. In 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 20-24 September 2004, Beijing, China, pages 445–448. IEEE Computer Society.
Zhou, L. and Zhang, D. (2007). An ontology-supported misinformation model: Toward a digital misinformation library. IEEE Trans. Syst. Man Cybern. Part A, 37(5):804–813
de Sá, I. C., Monteiro, J. M., da Silva, J. W. F., Medeiros, L. M., Mourão, P. J. C., and da Cunha, L. C. C. (2021). Digital lighthouse: A platform for monitoring public groups in whatsapp. In Filipe, J., Smialek, M., Brodsky, A., and Hammoudi, S., editors, Proceedings of the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 1, pages 297–304. SCITEPRESS.
Gómez-Pérez, J. M., Pan, J. Z., Vetere, G., and Wu, H. (2017). Enterprise knowledge graph: An introduction. In Pan, J. Z., Vetere, G., Gómez-Pérez, J. M., and Wu, H., editors, Exploiting Linked Data and Knowledge Graphs in Large Organisations, pages 1–14. Springer.
Jabardi, M. H. and Hadi, A. S. (2020). Twitter Fake Account Detection and Classification using Ontological Engineering and Semantic Web Rule Language. Karbala International Journal of Modern Science, 6.
Jabardi, M. H. and Hadi, A. S. (2021). Ontology Meter for Twitter Fake Accounts Detection. International Journal of Intelligent Engineering and Systems, 14(1).
Martins, A. D. F., Cabral, L., Mourão, P. J. C., Monteiro, J. M., and Machado, J. C. (2021). Detection of misinformation about COVID-19 in brazilian portuguese whatsapp messages. In Metais, E., Meziane, F., Horacek, H., and Kapetanios, E., editors, Natural Language Processing and Information Systems - 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrucken, Germany, June 23-25, 2021, Proceedings, volume 12801 of Lecture Notes in Computer Science, pages 199–206. Springer.
OpenLink Software (2020). Virtuoso. Technical report, OpenLink Software.
Pan, J. Z., Pavlova, S., Li, C., Li, N., Li, Y., and Liu, J. (2018). Content based fake news detection using knowledge graphs. In Vrandecic, D., Bontcheva, K., Suarez-Figueroa, M. C., Presutti, V., Celino, I., Sabou, M., Kaffee, L., and Simperl, E., editors, The Semantic Web - ISWC 2018 - 17th International Semantic Web Conference, Monterey, CA, USA, October 8-12, 2018, Proceedings, Part I, volume 11136 of Lecture Notes in Computer Science, pages 669–683. Springer.
Rehm, G., Schneider, J. M., and Bourgonje, P. (2018). Automatic and manual web annotations in an infrastructure to handle fake news and other online media phenomena. In Calzolari, N., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Hasida, K., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J., Piperidis, S., and Tokunaga, T., editors, Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018. European Language Resources Association (ELRA).
Stanford University (2021). Protégé. Technical report, Stanford University.
Tchechmedjiev, A., Fafalios, P., Boland, K., Gasquet, M., Zloch, M., Zapilko, B., Dietze, S., and Todorov, K. (2019). Claimskg: A knowledge graph of fact-checked claims. In Ghidini, C., Hartig, O., Maleshkova, M., Svatek, V., Cruz, I. F., Hogan, A., Song, J., Lefrançois, M., and Gandon, F., editors, The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, volume 11779 of Lecture Notes in Computer Science, pages 309–324. Springer.
van Rossum, G. (1995). Python tutorial. Technical Report CS-R9526, Centrum voor Wiskunde en Informatica (CWI), Amsterdam.
W3C (2013). SPARQL. Technical report, World Wide Web Consortium (W3C).
Yan, J., Wang, C., Cheng, W., Gao, M., and Zhou, A. (2018). A retrospective of knowledge graphs. Frontiers Comput. Sci., 12(1):55–74.
Zhou, L. and Zhang, D. (2004). Building a misinformation ontology. In 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 20-24 September 2004, Beijing, China, pages 445–448. IEEE Computer Society.
Zhou, L. and Zhang, D. (2007). An ontology-supported misinformation model: Toward a digital misinformation library. IEEE Trans. Syst. Man Cybern. Part A, 37(5):804–813
Publicado
04/10/2021
Como Citar
SILVA, Ronney Nery; MONTEIRO, José Maria; FRANCO, Wellington.
FarolKG: Um Grafo de Conhecimento sobre Desinformação em Mensagens do WhatsApp. In: WORKSHOP DE TESES E DISSERTAÇÕES (WTDBD) - SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 36. , 2021, Rio de Janeiro.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 134-140.
DOI: https://doi.org/10.5753/sbbd_estendido.2021.18175.
