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Authors: Gabriel Garcia 1 ; Luis Afonso 1 ; Leandro Passos 2 ; Danilo Jodas 1 ; Kelton A. P. da Costa 1 and João Papa 1

Affiliations: 1 School of Sciences, São Paulo State University, Bauru, Brazil ; 2 CMI Lab, School of Engineering and Informatics, University of Wolverhampton, Wolverhampton, England, U.K.

Keyword(s): Fake News, Corpus, Portuguese.

Abstract: The advances in technology have allowed digital content to be shared in a very short time and reach thousands of people. Fake news is one of the content shared among people and it has a negative impact on our society. Therefore, its detection has become a research topic of great importance in the natural language processing and machine learning communities. Besides the techniques employed for detection, it is also important a good corpus so that machine learning techniques can learn to differentiate between real and fake news. One can find corpora in Brazilian Portuguese; however, they are either outdated or balanced, which does not reflect a real-life situation. This work presents a new updated and imbalanced corpus for the detection of fake news where the detection can be treated as an anomaly detection problem. This work also evaluates the proposed corpus by using classifiers designed for anomaly detection purposes.

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Paper citation in several formats:
Garcia, G.; Afonso, L.; Passos, L.; Jodas, D.; A. P. da Costa, K. and Papa, J. (2023). FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 830-837. DOI: 10.5220/0011660700003417

@conference{visapp23,
author={Gabriel Garcia. and Luis Afonso. and Leandro Passos. and Danilo Jodas. and Kelton {A. P. da Costa}. and João Papa.},
title={FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={830-837},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011660700003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus
SN - 978-989-758-634-7
IS - 2184-4321
AU - Garcia, G.
AU - Afonso, L.
AU - Passos, L.
AU - Jodas, D.
AU - A. P. da Costa, K.
AU - Papa, J.
PY - 2023
SP - 830
EP - 837
DO - 10.5220/0011660700003417
PB - SciTePress

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