Abstract
The electoral period has great importance in any democracy, but nowadays, different groups try to get an advantage in the democratic process by posting fake news on social media networks. The use of data mining technique to identify fake news is on development stage, and there is no holistic solution to this problem yet. In our work, we proposed an architecture that uses a centralized blockchain on fake news detection process. The primary characteristic of our architecture is the use of data mining as a consensus algorithm to authenticate the information published on social networks. Using our architecture is possible to identify fake news, alert readers, punish who dissolves this type of information and reward who publish true information on the network.
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Acknowledgment
This work was financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001 and Fundação de Amaparo à Pesquisa e Inovação do Estado de Santa Catarina – Brasil (FAPESC) – Grant No. 2019TR169. This research has been partially supported by the Portuguese Research Council (Fundação para a Ciência e Tecnologia), under the FCT Project UID/EEA/50008/2019.
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Ochoa, I.S., de Mello, G., Silva, L.A., Gomes, A.J.P., Fernandes, A.M.R., Leithardt, V.R.Q. (2019). FakeChain: A Blockchain Architecture to Ensure Trust in Social Media Networks. In: Piattini, M., Rupino da Cunha, P., García Rodríguez de Guzmán, I., Pérez-Castillo, R. (eds) Quality of Information and Communications Technology. QUATIC 2019. Communications in Computer and Information Science, vol 1010. Springer, Cham. https://doi.org/10.1007/978-3-030-29238-6_8
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DOI: https://doi.org/10.1007/978-3-030-29238-6_8
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