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FakeRecogna: A New Brazilian Corpus for Fake News Detection

  • Conference paper
  • First Online:
Computational Processing of the Portuguese Language (PROPOR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13208))

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Abstract

Fake news has become a research topic of great importance in Natural Language Processing due to its negative impact on our society. Although its pertinence, there are few datasets available in Brazilian Portuguese and mostly comprise few samples. Therefore, this paper proposes creating a new fake news dataset named FakeRecogna that contains a greater number of samples, more up-to-date news, and covering a few of the most important categories. We perform a toy evaluation over the created dataset using traditional classifiers such as Naive Bayes, Optimum-Path Forest, and Support Vector Machines. A Convolutional Neural Network is also evaluated in the context of fake news detection in the proposed dataset.

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Notes

  1. 1.

    https://www.kaggle.com/rogeriochaves/boatos-de-whatsapp-boatosorg.

  2. 2.

    https://reporterslab.org/fact-checking/.

  3. 3.

    https://g1.globo.com/.

  4. 4.

    https://www.uol.com.br/.

  5. 5.

    https://extra.globo.com/.

  6. 6.

    https://www.gov.br/saude/pt-br.

  7. 7.

    https://github.com/recogna-lab/datasets/tree/master/FakeRecogna.

  8. 8.

    We used an implementation provided by OPFython library [26].

  9. 9.

    We used the well-known TensorFlow library [1].

  10. 10.

    https://keras.io/api/optimizers/adam/.

  11. 11.

    https://keras.io/api/losses/probabilistic_losses/.

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Acknowledgments

The authors are grateful to FAPESP grants #2013/07375-0, #2014/12236-1, and #2019/07665-4, and CNPq grants #307066/2017-7 and #427968/2018-6.

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Authors and Affiliations

  1. School of Sciences, São Paulo State University, Bauru, Brazil

    Gabriel L. Garcia, Luis C. S. Afonso & João P. Papa

Authors
  1. Gabriel L. Garcia
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  2. Luis C. S. Afonso
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  3. João P. Papa
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Editor information

Editors and Affiliations

  1. Universidade de Fortaleza, Fortaleza, Brazil

    Vládia Pinheiro

  2. CiTIUS - Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Pablo Gamallo

  3. Universidade Nova de Lisboa, Lisbon, Portugal

    Raquel Amaro

  4. University of Sheffield, Sheffield, UK

    Carolina Scarton

  5. INESC-ID, Lisbon, Portugal

    Fernando Batista

  6. Federal University of São Carlos, São Carlos, Brazil

    Diego Silva

  7. University of Lisbon, Lisbon, Portugal

    Catarina Magro

  8. Sentimonitor, Porto Alegre, Brazil

    Hugo Pinto

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Garcia, G.L., Afonso, L.C.S., Papa, J.P. (2022). FakeRecogna: A New Brazilian Corpus for Fake News Detection. In: Pinheiro, V., et al. Computational Processing of the Portuguese Language. PROPOR 2022. Lecture Notes in Computer Science(), vol 13208. Springer, Cham. https://doi.org/10.1007/978-3-030-98305-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-98305-5_6

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