Temporal Analysis of Brazilian Presidential Election on Twitter Based on Formal Concept Analysis

Daniel Pereira, Julio Neves, Wladmir Brandão, Mark Song

2024

Abstract

Social networks have become an environment where users express their feelings and share news in real-time. However, analyzing the content produced by users is not a simple task, given the volume of posts. It is important to comprehend the expressions made by users to gain insights into politicians, public figures, and news. The state-of-the-art lacks studies that propose how the topics discussed by social network users change over time. In this context, this work measures how topics discussed on Twitter vary over time. Formal Concept Analysis was used to measure how these topics were varying, considering the support and confidence metrics. Our solution was tested on tweets related to the Brazilian presidential election. The results confirm that it is possible to comprehend what Twitter users were discussing and how these topics changed over time. Our work is beneficial for politicians seeking to analyze the discussions about them among users. Our analysis of 3,634 tweets revealed several significant patterns, such as the association between political figures and topics like fake news and election fraud. These findings demonstrate how social media discussions evolve during key political events, providing insights that can assist political campaigns in real-time.

Paper Citation

in Harvard Style

Pereira D., Neves J., Brandão W. and Song M. (2024). Temporal Analysis of Brazilian Presidential Election on Twitter Based on Formal Concept Analysis. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-718-4, SciTePress, pages 167-174. DOI: 10.5220/0012869300003825

in Bibtex Style

@conference{webist24,
author={Daniel Pereira and Julio Neves and Wladmir Brandão and Mark Song},
title={Temporal Analysis of Brazilian Presidential Election on Twitter Based on Formal Concept Analysis},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2024},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012869300003825},
isbn={978-989-758-718-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Temporal Analysis of Brazilian Presidential Election on Twitter Based on Formal Concept Analysis
SN - 978-989-758-718-4
AU - Pereira D.
AU - Neves J.
AU - Brandão W.
AU - Song M.
PY - 2024
SP - 167
EP - 174
DO - 10.5220/0012869300003825
PB - SciTePress