loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

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 One can find corpora in Brazilian Portuguese; however, they are either outdated or balanced, which does not reflect a real-life situation.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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.14.91.107

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic