A Blockchain-based and AI-Endorsed Mechanism to Support Social Networks on Fake News Containment

• Valdemar Vicente Graciano Neto UFG
• Jacson Rodrigues Barbosa UFG
• Eliomar Araújo de Lima UFG
• Sérgio Teixeira de Carvalho UFG
• Samuel Venzi GoLedger

DOI: https://doi.org/10.5753/brasnam.2024.2255

Resumo

Online Social Networks (OSNs) have promoted, yet unintentionally, critical consequences of fake news dissemination. However, the mainstream OSNs are centralized, while Secure Social Networks (SSNs) are not as popular as the centralized ones. To bridge this gap, this paper proposes a solution using blockchain and artificial intelligence to enhance OSN security by introducing a mechanism for content verification, fact-checking, and rewarded participation. Preliminary proof-of-concept results demonstrate the feasibility of the approach to face misinformation.

Referências

Arquam, M., Singh, A., and Sharma, R. (2021). A blockchain-based secured and trusted framework for information propagation on online social networks. Social Network Analysis and Mining, 11(1):49.

Buterin, V. (2014). Ethereum: A next-generation smart contract and decentralized application platform. Bitcoin Magazine, 20.

Caravanti de Souza, M., Silva Gôlo, M. P., Mário Guedes Jorge, A., Carvalho Freire de Amorim, E., Nuno Taborda Campos, R., Marcondes Marcacini, R., and Oliveira Rezende, S. (2024). Keywords attention for fake news detection using few positive labels. Information Sciences, 663:120300.

DateReportal (2024). Global social media statistics. Available at: [link].

de Lima et al., E. A. (2024). Projeto Web 3.0 Avaliação de Impacto da Web 3.0: Descentralizada, Imersiva, Semântica, Centrada no Usuário e Conectada com o Mundo Ciberfísico; Relatório Técnico Fake News – Etapa 4 – Relatório 2 – PoC dApp. Technical Report 02-2024, Universidade Federal de Goiás. In Portuguese – Restricted Access.

Dhall, S., Dwivedi, A. D., Pal, S. K., and Srivastava, G. (2021). Blockchain-based framework for reducing fake or vicious news spread on social media/messaging platforms. ACM Trans. Asian Low-Resour. Lang. Inf. Process., 21(1).

Freni, P., Ferro, E., and Ceci, G. (2020). Fixing social media with the blockchain. In Proc. of the 6th EAI ICSOTSG, pages 175–180.

Gomes, J., Graciano Neto, V. V., Barbosa, J., and de Lima, E. A. (2023). A Rapid Tertiary Review at the Fake News Domain. In XI ERI-GO, pages 1–10, Goiânia, Brazil. SBC.

Guidi, B. (2020). When blockchain meets online social networks. Pervasive and Mobile Computing, 62:101131.

Gôlo, M. P. S., de Souza, M. C., Rossi, R. G., Rezende, S. O., Nogueira, B. M., and Marcacini, R. M. (2023). One-class learning for fake news detection through multimodal variational autoencoders. Engineering Applications of Artificial Intelligence, 122:106088.

Li, C. and Palanisamy, B. (2019). Incentivized blockchain-based social media platforms: A case study of steemit. In Proc. of the 10th WebSci, page 145–154, New York, NY, USA. ACM.

Morais, J. I. d., Abonizio, H. Q., Tavares, G. M., da Fonseca, A. A., and Jr, S. B. (2020). A multi-label classification system to distinguish among fake, satirical, objective and legitimate news in brazilian portuguese. iSys Brazilian Journal of Information Systems, 13(4):126–149.

Reis, J. and Benevenuto, F. (2022). Detecção automática de desinformação em diferentes cenários: Eleições nos estados unidos e no brasil. In Anais do XI Brazilian Workshop on Social Network Analysis and Mining, pages 1–12, Porto Alegre, RS, Brasil. SBC.

Salim, S., Turnbull, B., and Moustafa, N. (2021). A blockchain-enabled explainable federated learning for securing internet-of-things-based social media 3.0 networks. IEEE Transactions on Computational Social Systems, pages 1–17.

Santana, C., Claro, D. B., and Souza, M. (2022). Fake news detection in tweets: Challenges and adaptations imposed by the covid-19. iSys Brazilian Journal of Information Systems, 15(1):11:1–11:26.

Testoni, G., Souza, M., Freire, P. M., and Goldschimidt, R. (2021). Um método linguístico que combina polaridade, emoção e aspectos gramaticais para detecção de fake news em inglês. In Anais do X Brazilian Workshop on Social Network Analysis and Mining, pages 151–162, Porto Alegre, RS, Brasil. SBC.

Torky, M., Nabil, E., and Said, W. (2019). Proof of credibility: A blockchain approach for detecting and blocking fake news in social networks. IJACSA, 10(12).

Zhou, X. and Zafarani, R. (2020). A survey of fake news: Fundamental theories, detection methods, and opportunities. ACM Computing Surveys (CSUR), 53(5):1–40.