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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Santos, T., Louçã, Jorge & Coelho, H. (2025). Agenda-Setting in the Brazilian Presidential Elections 2018 on Twitter. In Emerging Trends in Information Systems and Technologies. (pp. 167-178).: Springer Nature Switzerland.
Exportar Referência (IEEE) 
T. M. Santos et al.,  "Agenda-Setting in the Brazilian Presidential Elections 2018 on Twitter", in Emerging Trends in Information Systems and Technologies, Springer Nature Switzerland, 2025, vol. WorldCIST, pp. 167-178
Exportar BibTeX 
@incollection{santos2025_1777686842364,
	author = "Santos, T. and Louçã, Jorge and Coelho, H.",
	title = "Agenda-Setting in the Brazilian Presidential Elections 2018 on Twitter",
	chapter = "",
	booktitle = "Emerging Trends in Information Systems and Technologies",
	year = "2025",
	volume = "WorldCIST",
	series = "",
	edition = "5",
	pages = "167-167",
	publisher = "Springer Nature Switzerland",
	address = "",
	url = "https://doi.org/10.1007/978-3-031-97799-2_15"
}
Exportar RIS 
TY  - CHAP
TI  - Agenda-Setting in the Brazilian Presidential Elections 2018 on Twitter
T2  - Emerging Trends in Information Systems and Technologies
VL  - WorldCIST
AU  - Santos, T.
AU  - Louçã, Jorge
AU  - Coelho, H.
PY  - 2025
SP  - 167-178
DO  - 10.1007/978-3-031-97799-2_15
UR  - https://doi.org/10.1007/978-3-031-97799-2_15
AB  - This study investigates the dynamics between traditional media companies and emerging digital actors during the 2018 Brazilian Presidential Elections through a comprehensive analysis of Twitter communications. Using Latent Dirichlet Allocation (LDA) topic modeling, we analyzed 4,366,960 tweets from 892,105 users during the period of October 26–30, 2018, focusing on shared links and content from the top 20 media outlets. The research reveals that while established media companies maintained their dominant position in terms of content distribution (with 10 out of 20 top-shared domains), partisan and alternative media outlets successfully challenged their narrative. This study contributes to agenda-setting theory by quantifying how digital platforms enable alternative media to compete with traditional outlets for narrative control in political discourse, despite resource disparities.
ER  -