Social media influencer vs. virtual influencer: the mediating role of source credibility and authenticity in advertising effectiveness within AI influencer marketing
Open accessAbstract
This study examines the differences between social media influencers and virtual influencers in influencer marketing, focusing on their impact on marketing effectiveness. Using a between-subjects experimental design, the research explores how human influencers (HIs), human-like virtual influencers (HVIs), and anime-like virtual influencers (AVIs) affect perceptions of authenticity, source credibility, and overall marketing effectiveness. The study evaluates these influencer types across both for-profit and not-for-profit messaging contexts to determine how message intent influences audience reactions. The findings reveal that HVIs can be as effective as human influencers, especially in not-for-profit messaging, where their authenticity and source credibility are higher. However, when the messaging shifts to for-profit motives, the advantage of HVIs diminishes, aligning more closely with AVIs, which consistently show lower effectiveness. The study highlights the critical role that both authenticity and source credibility play in mediating the relationship between the type of influencer and advertising effectiveness.
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Governance regimes and socio-cultural priors co-produce responses to persuasive technologies and green messages.
“These variations are consistent with research demonstrating that governance regimes and socio-cultural priors co-produce responses to persuasive technologies and green messages (Colleoni et al., 2022;Kim and Wang, 2024;Strycharz and Segijn, 2024).”
From Cross-national evidence on influencer-driven green choice: a moderated-mediation model of authenticity, parasocial ties, and greenwashing exposure (2026) · cites this paper as Kim and Wang, 2024
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Balaskas, S., & Yfantidou, I. (2026) · Frontiers in Communication · doi:10.3389/fcomm.2026.1764803 · Cited by 2 · see citing works
“…in how verification, disclosure, and “machine heuristic” cues shape trust, creator heterogeneity (micro vs. macro; human vs. virtual) should be investigated within the same conditional-process framework (Breves and Liebers, 2025; Chen et al., 2022; Kalam et al., 2024; Kim and Wang, 2024).”
- Authors
- Kim, D., & Wang, Z.
- Affiliations
- University of Southern California (US)
- Venue
- Computers in Human Behavior: Artificial Humans
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 2
- Issue
- 2
- Pages
- 100100
- ISSN
- 2949-8821 (ISSN-L)
- OpenAlex
- W4403537315
- Cited by
- 60
- References
- 10
- Citations by year
- 2026: 43 · 2025: 17
- FWCI
- 43.22
- Type
- journal article
- Language
- en
- Update notices
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers in Human Behavior Artificial Humans (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- virtual influencers, social media influencers, influencer marketing, source credibility, authenticity, advertising effectiveness, AI-generated advertising
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