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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.

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Breviglieri F., Guerreiro, J. & Loureiro, S. (2023). The perception of trust in personalized video news generated by artificial intelligence. In Rust, R. T., Peres, R., Robinson, L., Nishio, C., and Garrett, T. (Ed.), 2023 Global Marketing Conference at Seoul Proceedings "Marketing & Management Transformation in the Challenging Digital Environment" . (pp. 693-698). Seoul, Republic of Korea: Global Alliance of Marketing and Management Associations.
Exportar Referência (IEEE)
F. Breviglieri et al.,  "The perception of trust in personalized video news generated by artificial intelligence", in 2023 Global Marketing Conf. at Seoul Proc. "Marketing & Management Transformation in the Challenging Digital Environment" , Rust, R. T., Peres, R., Robinson, L., Nishio, C., and Garrett, T., Ed., Seoul, Republic of Korea, Global Alliance of Marketing and Management Associations, 2023, pp. 693-698
Exportar BibTeX
@inproceedings{breviglieri2023_1732201987080,
	author = "Breviglieri F. and Guerreiro, J. and Loureiro, S.",
	title = "The perception of trust in personalized video news generated by artificial intelligence",
	booktitle = "2023 Global Marketing Conference at Seoul Proceedings "Marketing & Management Transformation in the Challenging Digital Environment" ",
	year = "2023",
	editor = "Rust, R. T., Peres, R., Robinson, L., Nishio, C., and Garrett, T.",
	volume = "",
	number = "",
	series = "",
	doi = "10.15444/GMC2023.08.07.01",
	pages = "693-698",
	publisher = "Global Alliance of Marketing and Management Associations",
	address = "Seoul, Republic of Korea",
	organization = "",
	url = "http://gmcproceedings.net/index.html"
}
Exportar RIS
TY  - CPAPER
TI  - The perception of trust in personalized video news generated by artificial intelligence
T2  - 2023 Global Marketing Conference at Seoul Proceedings "Marketing & Management Transformation in the Challenging Digital Environment" 
AU  - Breviglieri F.
AU  - Guerreiro, J.
AU  - Loureiro, S.
PY  - 2023
SP  - 693-698
DO  - 10.15444/GMC2023.08.07.01
CY  - Seoul, Republic of Korea
UR  - http://gmcproceedings.net/index.html
AB  - As the use of artificial intelligence (AI) grows, so do the questions regarding this new
technology and its potential uses. Among the various possibilities and employment that could
be offered by AI is personalized news technology. Nowadays, it is already possible to
produce journalistic content through AI (Carlson, 2014; Graefe & Haim, 2018). Digital
storytelling has become a reality through automated journalism powered by AI (Caswell &
Dörr, 2018; Galily, 2018; Linden, 2017; Thorne, 2020). “Artificial intelligence applies
advanced analysis and logic-based techniques, including machine learning, to interpret
events, support and automate decisions, and take actions” (Gartner Group, 2019). In
personalized news technology, algorithms are responsible for selecting content and sorting it
according to the personalization criteria (Powers, 2017). So far, AI has been studied in
different fields with distinct research focuses (Loureiro et al., 2021). Studies of news-
personalization technologies have mainly focused on research engines and filtering
mechanisms (Darvishy et al., 2020; Haim et al., 2017; Manoharan & Senthilkumar, 2020).
Few studies examine news aggregators (Haim et al., 2018; Kwak et al., 2021) and the effects
of news personalization on audiences (Merten, 2021; Swart, 2021; Thurman et al., 2019),
thus demanding further research. AI is an imminent reality for the future, reshaping the news
media (Brennen et al., 2022; Linden, 2017; Thorne, 2020). Hence, it is still necessary to
investigate the impacts that this technology potentially offers to users. Therefore, the current
study seeks to respond to this need to deepen research into the area of news personalization
through AI, by analyzing the response of audiences toward current and future technological
tendencies. The main aim of this research is to investigate the levels of trust that users have
in AI-generated personalized video news.
ER  -