Data mining applied in fake news classification through textual patterns
Resumo
Fake news has been around for a long time. But with the advancement of social media and internet access, fake news has become a bigger problem. Because of the rapid spread in social media and instant messaging applications, fake news can reach more people in less time by directly influencing democratic processes, leveraging security issues that sometimes lead to tragic ends. In order to promote a fast and automated method of fake news identification, in this study, we performed an analysis of false Brazilian news, identifying writing patterns through natural language processing and machine learning.
Referências
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Mariane Rossi. 2005. Mulher espancada após boatos em rede social morre em Guarujá, SP. http://g1.globo.com/sp/santos-regiao/noticia/2014/05/mulher-espancada-apos-boatos-em-rede-social-morre-em-guaruja-sp.html
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Merschmann L. H. C. Stiilpen Junior, M. 2016. A methodology to handle social media posts in brazilian portuguese for text mining applications. WebMedia(2016).
Fábio Victor. 2017. Notícias falsas existem desde o século 6, afirma historiador Robert Darnton. https://www1.folha.uol.com.br/ilustrissima/2017/02/1859726-noticias-falsas-existem-desde-o-seculo-6-afi rma-historiador-robert-darnton.shtml
F. Bondielli, A. & Marcelloni. 2019. A survey on fake news and rumour detection techniques. Information Sciences (2019).
de Oliveira Sampaio J. Charles, A. C. 2018. Checking fake news on web browsers: an approach using collaborative datasets. In Posters at Big Social Data and Urban Computing - BiDU. CEUR.
Victoria L. Conroy, N. and Y. Chen. 2015. Automatic Deception Detection: Methods for Finding Fake News. ASIST (nov 2015).
I; Pintelas P. Supervised machine learning Kotsiantis, S.B.; Zaharakis. 2007. Supervised machine learning: A review of classification techniques. Informatica (2007).
Pardo T.A.S. de Almeida T.A. Ruiz E.E.S. Vale O.A. Monteiro R.A., Santos R.L.S.2018. Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results. PROPOR (2018).
Mariane Rossi. 2005. Mulher espancada após boatos em rede social morre em Guarujá, SP. http://g1.globo.com/sp/santos-regiao/noticia/2014/05/mulher-espancada-apos-boatos-em-rede-social-morre-em-guaruja-sp.html
Sliva A. Wang S. Tang J. & Liu H. Shu, K. 2017. Fake news detection on social media: A data mining perspective. ACM SIGKDD Explorations Newsletter (2017).
Merschmann L. H. C. Stiilpen Junior, M. 2016. A methodology to handle social media posts in brazilian portuguese for text mining applications. WebMedia(2016).
Fábio Victor. 2017. Notícias falsas existem desde o século 6, afirma historiador Robert Darnton. https://www1.folha.uol.com.br/ilustrissima/2017/02/1859726-noticias-falsas-existem-desde-o-seculo-6-afi rma-historiador-robert-darnton.shtml
Publicado
30/11/2020
Como Citar
MORAES, Marcos Paulo; SAMPAIO, Jonice de Oliveira; CHARLES, Anderson Cordeiro.
Data mining applied in fake news classification through textual patterns. In: WORKSHOP DE TRABALHOS DE INICIAÇÃO CIENTÍFICA - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 26. , 2020, São Luís.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 49-52.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2020.13061.
