Hyper-Realistic Virtual Influencers (HVIs): Multi-Sited Perceptions of Content Creators in Colombia, Mexico, Spain, and China

This study analyzes, using an exploratory, multi-sited qualitative approach, how digital content creators and managers in Colombia, Mexico, Spain, and China perceive the commercial use of hyper-realistic female virtual influencers. The corpus comprised three focus groups in Colombia as the empirical core, two contrasting focus groups in Mexico and Spain, and five semi-structured interviews in China with a total of 30 individuals participating, selected through purposive sampling using criterion and maximum variation strategies. The thematic analysis was based on a codebook combining deductive and inductive components, researcher triangulation, and contrasting between techniques and contexts. The findings indicate that whether the participants accept these influencers or not depends on communicative traceability, transparency, human endorsement, congruence between brand, product, and audience, and organizational accountability. The participants associated hyper-realism with gaining one’s attention, but were skeptical of them when they associated them with artificiality, body idealization, or lacking any real life experiences. Thus, an interpretive model of communicative legitimacy is proposed herein that incorporates trust, aesthetics, ethics, gender representation, and reputation, and defines the conditions for using these virtual influencers responsibly in digital campaigns.

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Publication Details

Journal
Journalism and Media
Published
2026-10-29
DOI
https://doi.org/10.3390/journalmedia7040225
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00

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article

Hyper-Realistic Virtual Influencers (HVIs): Multi-Sited Perceptions of Content Creators in Colombia, Mexico, Spain, and China

Mauricio Duque Cardona, Julieta Campos, Sol Naomi Jashimoto
2 links
Journalism and Media
Digital Marketing and Social Media
article

Hyper-Realistic Virtual Influencers (HVIs): Multi-Sited Perceptions of Content Creators in Colombia, Mexico, Spain, and China

Mauricio Duque Cardona, Julieta Campos, Sol Naomi Jashimoto
article en

Abstract

This study analyzes, using an exploratory, multi-sited qualitative approach, how digital content creators and managers in Colombia, Mexico, Spain, and China perceive the commercial use of hyper-realistic female virtual influencers. The corpus comprised three focus groups in Colombia as the empirical core, two contrasting focus groups in Mexico and Spain, and five semi-structured interviews in China with a total of 30 individuals participating, selected through purposive sampling using criterion and maximum variation strategies. The thematic analysis was based on a codebook combining deductive and inductive components, researcher triangulation, and contrasting between techniques and contexts. The findings indicate that whether the participants accept these influencers or not depends on communicative traceability, transparency, human endorsement, congruence between brand, product, and audience, and organizational accountability. The participants associated hyper-realism with gaining one’s attention, but were skeptical of them when they associated them with artificiality, body idealization, or lacking any real life experiences. Thus, an interpretive model of communicative legitimacy is proposed herein that incorporates trust, aesthetics, ethics, gender representation, and reputation, and defines the conditions for using these virtual influencers responsibly in digital campaigns.

Journalism and MediaVol. 7(4)
Universidad Veracruzana (MX), Universidad de Sonora (MX), Corporación Universitaria Empresarial Alexander von Humboldt (CO)
Corporación Universitaria Empresarial Alexander von Humboldt
Openalex Percentile: Top 6%
Digital Marketing and Social Media
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Hyper-Realistic Virtual Influencers (HVIs): Multi-Sited Perceptions of Content Creators in Colombia, Mexico, Spain, and China — Mauricio Duque Cardona, Julieta Campos, et al. · Journalism and Media (2026) | TGRS Research Map | TGRS