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Fact-Checking for Portuguese: Knowledge Graph and Google Search-Based Methods

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Computational Processing of the Portuguese Language (PROPOR 2020)

Abstract

The propagation of fake news may influence a large number of people on a wide range of subjects. Once the spread of fake news reached a critical point, relevant initiatives to fight them have emerged. In this paper, we adapt from English a knowledge graph-based method for fact-checking and propose a new one based on Google search, following content-based strategies for tackling deception in Portuguese, differently from what has been previously done in linguistic-based approaches. Our results are promising and indicate new ways to deal with the deceptive content detection issue.

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Notes

  1. 1.

    Available at https://wiki.dbpedia.org/develop/datasets/downloads-2016-10.

  2. 2.

    The data is available at http://tiny.cc/fum86y.

  3. 3.

    Available at http://tiny.cc/zxm86y.

  4. 4.

    https://www.boatos.org/.

  5. 5.

    http://www.e-farsas.com/.

  6. 6.

    https://aosfatos.org/.

  7. 7.

    https://piaui.folha.uol.com.br/lupa/.

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Acknowledgments

The authors are grateful to CAPES and USP Research Office (PRP 668) for supporting this work.

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Correspondence to Roney Lira de Sales Santos .

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Santos, R.L.d.S., Pardo, T.A.S. (2020). Fact-Checking for Portuguese: Knowledge Graph and Google Search-Based Methods. In: Quaresma, P., Vieira, R., Aluísio, S., Moniz, H., Batista, F., Gonçalves, T. (eds) Computational Processing of the Portuguese Language. PROPOR 2020. Lecture Notes in Computer Science(), vol 12037. Springer, Cham. https://doi.org/10.1007/978-3-030-41505-1_19

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  • DOI: https://doi.org/10.1007/978-3-030-41505-1_19

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