Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Lucas Cabral ; Diogo Martins ; José Maria Monteiro ; Javam Machado and Wellington Franco

Affiliation: Universidade Federal do Ceará, Brazil

Keyword(s): Datasets, Machine Learning, Misinformation Spreaders Detection.

Abstract: In the past few years, the large-scale dissemination of misinformation through social media has become a critical issue. In many developing countries such as Brazil, India, and Mexico, one of the primary sources of misinformation is the messaging application WhatsApp. Recently, a few methods for automatic misinforma- tion detection for the WhatsApp platform were proposed. On the other hand, identifying users who spread fake news is another key aspect of mitigating misinformation dissemination effectively. However, features to describe users on the WhatsApp platform were not found in the literature. This paper proposes a set of 23 features and two approaches (a supervised and another unsupervised) to identify possible misinformation spreaders on WhatsApp. Our results indicate that the proposed features can be used to distinguish between potential misinformation spreaders and users who share credible information with a F1 Score of 0.923.

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 3.21.122.131

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:
Cabral, L., Martins, D., Maria Monteiro, J., Machado, J. and Franco, W. (2023). FakeSpreadersWhatsApp.BR: Misinformation Spreaders Detection in Brazilian Portuguese WhatsApp Messages. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 219-228. DOI: 10.5220/0011985500003467

@conference{iceis23,
author={Lucas Cabral and Diogo Martins and José {Maria Monteiro} and Javam Machado and Wellington Franco},
title={FakeSpreadersWhatsApp.BR: Misinformation Spreaders Detection in Brazilian Portuguese WhatsApp Messages},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2023},
pages={219-228},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011985500003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - FakeSpreadersWhatsApp.BR: Misinformation Spreaders Detection in Brazilian Portuguese WhatsApp Messages
SN - 978-989-758-648-4
IS - 2184-4992
AU - Cabral, L.
AU - Martins, D.
AU - Maria Monteiro, J.
AU - Machado, J.
AU - Franco, W.
PY - 2023
SP - 219
EP - 228
DO - 10.5220/0011985500003467
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