Sexualization of virtual female influencers as a digital marketing resource. A look at Virtual Humans among generation Z

Main Article Content

Pablo Martín-Ramallal
Juan Pablo Micaletto-Belda
Fátima Rodríguez-García

Abstract

Introduction: Virtual influencers have gained popularity as marketing and promotion agents 2.0. Female figures such as those present on the Virtual Humas platform represent an evolution in the way content is consumed, subject to sexualization processes that influence the perception of the digital public. Methodology: The article aims to observe how the sexualization of female virtual influencers is constructed and used and examines the cultural implications of this practice through a case study, a content analysis and a Likert questionnaire answered by 132 respondents of generation Z. Results: It seems to show that virtual influencers tend to be represented in ways that reinforce gender stereotypes. In particular, those of young girls, who are in the majority, have been presented as objects of desire, highlighting their youth, beauty and explicit sexuality in advertisements and social networks. Discussion: The analysis of the highlights problematic by projecting unattainable ideals of beauty that influence young people, especially because these characters do not age or have imperfections. The lack of real consequences for these digital entities allows an extreme exploitation of their image, totally controlled by the brands. Conclusions: The sexualization of virtual influencers appears to be effective in attracting audiences and increasing sales, but it poses dilemmas. The promotion of unattainable beauty standards and the objectification of digital figures can negatively affect consumers, especially young people. It would be advisable for brands to adopt a responsible and regulated approach.

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How to Cite
Martín-Ramallal, Pablo, Juan Pablo Micaletto-Belda, and Fátima Rodríguez-García. 2026. “Sexualization of Virtual Female Influencers As a Digital Marketing Resource. A Look at Virtual Humans Among Generation Z”. Vivat Academia. Journal of Communication 159 (March):1-25. https://doi.org/10.15178/va.2026.159.e1641.
Section
Research Articles
Author Biographies

Pablo Martín-Ramallal, Universidad Loyola Andalucía

He holds a joint PhD in Communication from the Universities of Cádiz, Málaga, Huelva, and Seville; a joint Master's degree in Strategic Management and Innovation in Communication from the University of Cádiz; and a degree in Advertising and Public Relations. He is a Professor at the University of Seville (US) and a member of the Department of Business Administration and Marketing.

Juan Pablo Micaletto-Belda, Loyola University Andalusia

He holds a joint PhD in Communication from the Universities of Cádiz, Málaga, Huelva, and Seville; a joint Master's degree in Strategic Management and Innovation in Communication from the University of Cádiz; and a Bachelor's degree in Advertising and Public Relations from the University of Wales. He is currently a professor and researcher at the San Isidoro University Center in Seville, affiliated with the Pablo de Olavide University. He serves as Academic Director of the Bachelor's Degree in Digital Communication, Coordinator of the third year of the Bachelor's Degree in Communication and the Bachelor's Degree in Digital Communication, and Mobility Tutor for the Bachelor's Degree in Digital Communication.

Fátima Rodríguez-García, San Isidoro University Center

With a PhD in Communication from the Universities of Cádiz, Málaga, Seville, and Huelva, a degree in Advertising and Public Relations from the University of Seville, and a Master's degree in Multimedia Product Creation from the Confederation of Andalusian Businessmen (CEA), she researches the communication of wines with a designation of origin in Andalusia. This line of research is the focus of her doctoral thesis, in which she analyzes the persuasive power of label texts and their influence on consumer perception, taste, estimated price, and decisions. Based on these findings, she proposes an applied labeling model based on consumer profiles.

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