FarolKG: A Knowledge Graph About Misinformation in WhatsApp Messages
Abstract
The popularization of social networks created an environment conducive to the mass spread of misinformation. Currently, the main tool used to spread disinformation is WhatsApp public groups. In this work, we propose the FarolKG, a knowledge graph about the misinformation that is propagated through WhatsApp public groups. The use of FarolKG will facilitate the execution of structured queries, both the message texts and their metadata. FarolKG will be generated through a semi-automatic pipeline, which periodically collects data from public WhatsApp groups, popular fact-checking sites and DBPedia. FarolKG will allow advanced exploration and discovery of information, for example, through queries in the SPARQL language. Additionally, FarolKG will provide a web interface that will enable the construction of queries in a visual way.
Keywords:
Misinformation, WhatsApp, EKG, Data Science
References
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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
Published
2021-10-04
How to Cite
SILVA, Ronney Nery; MONTEIRO, José Maria; FRANCO, Wellington.
FarolKG: A Knowledge Graph About Misinformation in WhatsApp Messages. In: WORKSHOP ON THESIS AND DISSERTATION (WTDBD) - BRAZILIAN SYMPOSIUM ON DATABASES (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.
