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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)
Enzig, J, Guerreiro, J. & Loureiro, S. M. C. (2024). How uncanny are virtual vs. human influencers: A text mining approach. In Vincent Jeseo, Jasmine Parajuli (Ed.), Marketing in a multicultural and vibrant world: Proceedings for the 2024 AMS World Marketing Congress. (pp. 45-58). Mauritius: Springer.
Exportar Referência (IEEE)
J. Enzig et al.,  "How uncanny are virtual vs. human influencers: A text mining approach", in Marketing in a multicultural and vibrant world: Proc. for the 2024 AMS World Marketing Congr., Vincent Jeseo, Jasmine Parajuli, Ed., Mauritius, Springer, 2024, pp. 45-58
Exportar BibTeX
@inproceedings{enzig2024_1764933438151,
	author = "Enzig, J and Guerreiro, J. and Loureiro, S. M. C.",
	title = "How uncanny are virtual vs. human influencers: A text mining approach",
	booktitle = "Marketing in a multicultural and vibrant world: Proceedings for the 2024 AMS World Marketing Congress",
	year = "2024",
	editor = "Vincent Jeseo, Jasmine Parajuli",
	volume = "",
	number = "",
	series = "",
	doi = "10.1007/978-3-031-80904-0_5",
	pages = "45-58",
	publisher = "Springer",
	address = "Mauritius",
	organization = "",
	url = "https://link.springer.com/chapter/10.1007/978-3-031-80904-0_5"
}
Exportar RIS
TY  - CPAPER
TI  - How uncanny are virtual vs. human influencers: A text mining approach
T2  - Marketing in a multicultural and vibrant world: Proceedings for the 2024 AMS World Marketing Congress
AU  - Enzig, J
AU  - Guerreiro, J.
AU  - Loureiro, S. M. C.
PY  - 2024
SP  - 45-58
SN  - 2363-6165
DO  - 10.1007/978-3-031-80904-0_5
CY  - Mauritius
UR  - https://link.springer.com/chapter/10.1007/978-3-031-80904-0_5
AB  - This paper uses the uncanny valley theory to examine how users react to different development levels of human-like avatars on social media. Three virtual avatars with different human-like appearances are compared with a human influencer from the same peer group on Instagram. The methodology is based on the evaluation of user comments on the posted content of the subjects. Text mining is used to evaluate the comments and calculate a sentiment score for each influencer. The results indicate that users react positively to the human influencer and negatively to the most human-like avatar. The study shows users follow the uncanny valley curve when dealing with virtual influencers. When users deal with virtual influencers who try to imitate humans but have low CGI quality, the results are positive. However, when virtual influencers are close to human-like appearance, there are adverse effects on their satisfaction.
ER  -