Fake News and Sarcasm, what is the limit of a critic and what is intentionally fake?

  • Fernando Cardoso Durier da Silva UNIRIO
  • Ana Cristina Bicharra Garcia UNIRIO

Resumo


Nowadays it is hard to distinguish what is a fake information made to mislead, cause havoc and hysteria than a true critic that has only the intention to highlight a social problem or an abnormality of some sort. In order to diminish the number of false positives in fake news detection, we experimented two neural network models trained by a combined set of true, fake and sarcastic news in order to test how accurate would be our model. This paper has the goal to propose future steps of an ongoing experiment and discuss the usage of collaboration aided by machines to gather such data to the models.

Referências

Dhillon, I. S., Mallela, S., and Kumar, R. (2003). A divisive information-theoretic feature clustering algorithm for text classification. Journal of machine learning research,3(Mar):1265–1287.

Janssens, F., Zhang, L., De Moor, B., and Gl¨anzel, W. (2009). Hybrid clustering for validation and improvement of subject-classification schemes. Information Processing & Management, 45(6):683–702.

Maasberg, M., Ayaburi, E., Liu, C., and Au, Y. (2018). Exploring the propagation of fake cyber news: An experimental approach.

Osatuyi, B. and Hughes, J. (2018). A tale of two internet news platforms-real vs. fake: An elaboration likelihood model perspective. In Proceedings of the 51st Hawaii International Conference on System Sciences.

Torres, R., Gerhart, N., and Negahban, A. (2018). Combating fake news: An investigation of information verification behaviors on social networking sites. In Proceedings of the 51st Hawaii International Conference on System Sciences.
Publicado
03/10/2019
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CARDOSO DURIER DA SILVA, Fernando; BICHARRA GARCIA, Ana Cristina. Fake News and Sarcasm, what is the limit of a critic and what is intentionally fake?. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 1. , 2019, Rio de Janeiro. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 58-61. ISSN 2326-2842. DOI: https://doi.org/10.5753/sbsc.2019.7807.