Fake news in healthcare: A study on the spread of false information on social media and the need for adjustments in Brazilian legislation
DOI:
https://doi.org/10.33448/rsd-v14i6.48982Keywords:
Fake news, Social networks, Public health, Brazilian legislation, Law reform.Abstract
The aim of this study is to identify characteristics and develop models that help understand how fake news spreads on social media, highlighting mechanisms to improve legislation aimed at combating its dissemination in defense of public health. The research method was divided into three stages: (1) review of current legislation addressing the dissemination of fake news; (2) application and evaluation of responses to a sociocultural questionnaire using multivariate factor analyses and machine learning to identify possible relationships between the behavior of spreading false information and sociocultural characteristics; and (3) identification of parameters associated with the spread of fake news using a complex networks approach. The results show that Brazilian legislation still lacks mechanisms to characterize intent (dolo) in the context of fake news dissemination on social networks. The questionnaire responses indicate that the spread of fake news is not primarily due to a lack of knowledge. The analysis of fake news propagation on social networks revealed that its dissemination does not follow the typical pattern of scale-free networks, suggesting artificial boosting of content. Additionally, the use of complex network theory to analyze propagation parameters can objectively identify whether dissemination occurs naturally or artificially. Holding individuals legally accountable for the intentional spread of fake news on social media requires adjustments to current legislation.
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References
Akamine, C. T. & Yamamoto, R. K. (2009). Estudo dirigido: estatística descritiva. (3ed). Editora Érica.
Albert, R., & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), Artigo 1. https://doi.org/10.1103/RevModPhys.74.47
Almeida, P. C. de B. (2010). Liberdade de expressão e liberdade de informação: Uma análise sobre suas distinções. Revista Ambito Jurídico, 80. https://ambitojuridico.com.br/liberdade-de-expressao-e-liberdade-de-informacao-uma-analise-sobre-suas-distincoes/
Arnaboldi, V., Conti, M., Passarella, A., & Dunbar, R. I. M. (2017). Online Social Networks and information diffusion: The role of ego networks. Online Social Networks and Media, 1, 44–55. https://doi.org/10.1016/j.osnem.2017.04.001
Barabási, A.-L., & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), Artigo 5439. https://doi.org/10.1126/science.286.5439.509
Barabási, A.-L., & Oltvai, Z. N. (2004). Network biology: Understanding the cell’s functional organization. Nature Reviews. Genetics, 5(2), Artigo 2. https://doi.org/10.1038/nrg1272
Barbuio, R. de C. [UNESP. (2025). Fake News na área de saúde: Um estudo sobre a disseminação de notícias falsas em redes sociais e a necessidade de adequação da legislação brasileira. https://hdl.handle.net/11449/295885
Barthélemy, M. (2004). Betweenness centrality in large complex networks. The European Physical Journal B, 38(2), 163–168. https://doi.org/10.1140/epjb/e2004-00111-4
Bloch, F., Jackson, M. O., & Tebaldi, P. (2023). Centrality measures in networks. Social Choice and Welfare, 61(2), 413–453. https://doi.org/10.1007/s00355-023-01456-4
Brasil. (1941). Decreto-Lei no 3.688, de 3 de outubro de 1941. https://www2.camara.leg.br/legin/fed/declei/1940-1949/decreto-lei-3688-3-outubro-1941-413573-publicacaooriginal-1-pe.html
Brasil. (1988). Constituição da República Federativa do Brasil promulgada em 5 de outubro de 1988: Atualizada até a Emenda Constitucional n. 48, de 10-8-2005. Casa Civil. http://www.planalto.gov.br/ccivil_03/constituicao/constituicao.htm
Brasil. (2014). Lei 12.965, de 23 de abril de 2014. Marco Civil da Internet. https://www.planalto.gov.br/ccivil_03/_ato2011-2014/2014/lei/l12965.htm
Coronavírus: O que é fake news e o que é verdade sobre a transmissão da doença. ([s.d.]). CNN Brasil. Recuperado 22 de outubro de 2024, de https://www.cnnbrasil.com.br/saude/coronavirus-o-que-e-fake-news-e-o-que-e-verdade-sobre-a-transmissao-da-doenca/
Delmazo, C., & Valente, J. C. L. (2018). Fake news nas redes sociais online: Propagação e reações à desinformação em busca de cliques. Media & Jornalismo, 18(32), 155–169.
Ferreira, J. R. S., Lima, P. R. S., & Souza, E. D. de. (2021). Desinformação, infodemia e caos social: Impactos negativos das fake news no cenário da COVID-19. Em Questão, 27(1), 30–58.
Fox Keller, E. (2005). Revisiting “scale-free” networks. BioEssays, 27(10), 1060–1068. https://doi.org/10.1002/bies.20294
Gasparini, P., Philot, E. A., Pantaleão, S. Q., Torres-Bonfim, N. E. S. M., Kliousoff, A., Quiroz, R. C. N., Perahia, D., Simões, R. P., Magro, A. J., & Scott, A. L. (2023). Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods. Journal of Molecular Graphics and Modelling, 121, 108443. https://doi.org/10.1016/j.jmgm.2023.108443
Glez-Peña, D., Lourenço, A., López-Fernández, H., Reboiro-Jato, M., & Fdez-Riverola, F. (2014). Web scraping technologies in an API world. Briefings in Bioinformatics, 15(5), 788–797. https://doi.org/10.1093/bib/bbt026
Goh, K.-I., Oh, E., Jeong, H., Kahng, B., & Kim, D. (2002). Classification of scale-free networks. Proceedings of the National Academy of Sciences, 99(20), 12583–12588. https://doi.org/10.1073/pnas.202301299
Han, J., Pei, J., & Kamber, M. (2011). Data Mining: Concepts and Techniques. Elsevier.
Kumar, S., Mallik, A., Khetarpal, A., & Panda, B. S. (2022). Influence maximization in social networks using graph embedding and graph neural network. Information Sciences, 607, 1617–1636. https://doi.org/10.1016/j.ins.2022.06.075
Lê, S., Josse, J., & Husson, F. (2008). FactoMineR: An R Package for Multivariate Analysis. Journal of Statistical Software, 25(1), Artigo 1. https://doi.org/10.18637/jss.v025.i01
Leskovec, J., & Krevl, A. (2014, junho). SNAP Datasets: Stanford Large Network Dataset Collection. http://snap.stanford.edu/data
Luvizutto, G. J., Silva ,Gabrielly Fernanda, Nascimento ,Monalisa Resende, Sousa Santos ,Kelly Cristina, Appelt ,Pablo Andrei, de Moura Neto ,Eduardo, de Souza ,Juli Thomaz, Wincker ,Fernanda Cristina, Miranda ,Luana Aparecida, Hamamoto Filho ,Pedro Tadao, de Souza ,Luciane Aparecida Pascucci Sande, Simões ,Rafael Plana, de Oliveira Vidal ,Edison Iglesias, & and Bazan, R. (2022). Use of artificial intelligence as an instrument of evaluation after stroke: A scoping review based on international classification of functioning, disability and health concept: AI applications for stroke evaluation. Topics in Stroke Rehabilitation, 29(5), 331–346. https://doi.org/10.1080/10749357.2021.1926149
Majeed, A., & Rauf, I. (2020). Graph Theory: A Comprehensive Survey about Graph Theory Applications in Computer Science and Social Networks. Inventions, 5(1), Artigo 1. https://doi.org/10.3390/inventions5010010
Marda, V., & Milan, S. (2018). Wisdom of the Crowd: Multistakeholder Perspectives on the Fake News Debate (SSRN Scholarly Paper 3184458). Social Science Research Network. https://papers.ssrn.com/abstract=3184458
Mendonça, R. F., Freitas, V. G., Aggio, C. de O., & Santos, N. F. dos. (2022). Fake News e o Repertório Contemporâneo de Ação Política. Dados, 66, e20200213. https://doi.org/10.1590/dados.2023.66.2.301
Monari, A. C. P., & Filho, C. B. (2019). Saúde sem Fake News: Estudo e caracterização das informações falsas divulgadas no Canal de Informação e Checagem de Fake News do Ministério da Saúde. Mídia e Cotidiano, 13(1), Artigo 1. https://doi.org/10.22409/ppgmc.v13i1.27618
Nazario de Moraes, L., Tommasini Grotto, R. M., Targino Valente, G., de Carvalho Sampaio, H., Magro, A. J., Fogaça, L., Wolf, I. R., Perahia, D., Faria Silva, G., & Plana Simões, R. (2019). A novel molecular mechanism to explain mutations of the HCV protease associated with resistance against covalently bound inhibitors. Virus Research, 274, 197778. https://doi.org/10.1016/j.virusres.2019.197778
“News you don’t believe”: Audience perspectives on fake news | Reuters Institute for the Study of Journalism. ([s.d.]). https://reutersinstitute.politics.ox.ac.uk/our-research/news-you-dont-believe-audience-perspectives-fake-news
Pereira A. S. et al. (2018). Metodologia da pesquisa científica. [free e-book]. Editora da UAB/NTE/UFSM
Pitelli, R. A., Simões, R. P., Pitelli, R. L., Rocha, R. J. da S., Merenda, A. M. P., da Cruz, F. P., Lameirão, A. M. M. dos S., Oliveira Júnior, A. J. de, & Gomes, R. H. M. (2025). Exploratory Analysis on the Chemical Composition of Aquatic Macrophytes in a Water Reservoir—Rio de Janeiro, Brazil. Water, 17(4), Artigo 4. https://doi.org/10.3390/w17040582
Recuero, R., & Gruzd, A. (2019). Cascatas de Fake News Políticas: Um estudo de caso no Twitter. Galáxia (São Paulo), 31–47.
https://doi.org/10.1590/1982-25542019239035
Rosa, T., Delduque, M. C., & Alves, S. M. C. (2023). A pandemia de covid-19 e as fake news: Uma revisão da literatura. Saúde e Sociedade, 32, e220918pt. https://doi.org/10.1590/S0104-12902023220918pt
Shitsuka et al. (2014). Matemática fundamental para a tecnologia. Editora Érica
Simões, R. P., Wolf, I. R., Correa, B. A., & Valente, G. T. (2021). Uncovering patterns of the evolution of genomic sequence entropy and complexity. Molecular Genetics and Genomics, 296(2), 289–298. https://doi.org/10.1007/s00438-020-01729-y
Tomasevicius Filho, E. (2016). Marco Civil da Internet: Uma lei sem conteúdo normativo. Estudos Avançados, 30, 269–285. https://doi.org/10.1590/S0103-40142016.00100017
Wilson, C., Sala, A., Puttaswamy, K. P. N., & Zhao, B. Y. (2012). Beyond Social Graphs: User Interactions in Online Social Networks and their Implications. ACM Trans. Web, 6(4), 17:1-17:31. https://doi.org/10.1145/2382616.2382620
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques (Edição: 4). Morgan Kaufmann.
Wolf, I. R., Simões, R. P., & Valente, G. T. (2021). Three topological features of regulatory networks control life-essential and specialized subsystems. Scientific Reports, 11(1), 24209. https://doi.org/10.1038/s41598-021-03625-w
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Copyright (c) 2025 Rita de Cássia Barbuio; Ramon Hernany Martins Gomes; Juan Carlos Ramos Oliveira; Esther Camilo dos Reis; Luiza Camilo dos Reis; Rafael Plana Simões

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