Disclosures and literacy as determinants of AI-influencer recognition and well-being

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Authors: Michaela Forrai, Delia Cristina Balaban, Desirée Schmuck
Cited by: 2
References: 82

Abstract

AI-generated influencers—social media personalities created entirely by generative AI—are growing in popularity and becoming harder to distinguish from real people. Since exposure to idealized images has been linked to negative effects on well-being, it is crucial to investigate how social media users can be supported in recognizing AI-generated influencers. Drawing from the Persuasion Knowledge Model, we investigate disclosing the origin of AI-generated influencers and enhancing individuals’ literacy on the topic as two key strategies of increasing recognition. Findings from a 2 (presence versus absence of an AI disclosure) x 2 (presence versus absence of a literacy intervention about AI-generated influencers) between-subjects experiment with emerging adults showed that both disclosures and literacy interventions effectively increase recognition of AI-generated influencers. However, while recognizing AI-generated influencers did not prevent detrimental comparison processes and subsequent negative associations with well-being, subjective knowledge following the literacy intervention was positively linked with well-being.

Fields of Study & Subjects

Misinformation and Its Impacts AI in Service Interactions Media Influence and Health

Publication details

Journal / source
Computers in Human Behavior
Publisher
Elsevier BV
Volume
182
Pages
108978–108978
Publication date
19 March 2026
Language
EN