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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, R. B. & Costa, B. F. (2026). THE GUARDIAN’S DEPARTURE FROM X: an analysis of the tone and emotions of journalistic audiences’ comments on four platforms. Brazilian Journalism Research. 22 (1)
Exportar Referência (IEEE) 
R. B. Santos and B. M. Costa,  "THE GUARDIAN’S DEPARTURE FROM X: an analysis of the tone and emotions of journalistic audiences’ comments on four platforms", in Brazilian Journalism Research, vol. 22, no. 1, 2026
Exportar BibTeX 
@article{santos2026_1776071796869,
	author = "Santos, R. B. and Costa, B. F.",
	title = "THE GUARDIAN’S DEPARTURE FROM X: an analysis of the tone and emotions of journalistic audiences’ comments on four platforms",
	journal = "Brazilian Journalism Research",
	year = "2026",
	volume = "22",
	number = "1",
	doi = "10.25200/BJR.v22n1.2026.1821",
	url = "https://bjr.sbpjor.org.br/bjr/article/view/1821"
}
Exportar RIS 
TY  - JOUR
TI  - THE GUARDIAN’S DEPARTURE FROM X: an analysis of the tone and emotions of journalistic audiences’ comments on four platforms
T2  - Brazilian Journalism Research
VL  - 22
IS  - 1
AU  - Santos, R. B.
AU  - Costa, B. F.
PY  - 2026
SN  - 1808-4079
DO  - 10.25200/BJR.v22n1.2026.1821
UR  - https://bjr.sbpjor.org.br/bjr/article/view/1821
AB  - The Guardian newspaper announced it would stop sharing its news on X (formerly Twitter). When Elon Musk bought Twitter, he reduced moderation mechanisms in the name of freedom of expression. However, these changes have accentuated the challenge for newspapers to manage audience participation. Against the backdrop of the ethical and deontological duty of media companies to dynamize and moderate participatory spaces, this study analyzes the tone and its relationship with the emotional expressions that characterized people’s reactions in comment boxes to the announcement on Facebook, Instagram, TikTok, and X (n = 41.320). LIWC-22 software was used to analyze the tone of the comments. To conduct an emotion recognition analysis, Ekman’s works were used. The news comments showed higher scores for positive tone on Instagram and negative tone on X. This study shows how emotional categories affect the tone of comments over time.
ER  -