Sep 2026· Cyberpsychology: Journal of Psychosocial Research on Cyberspace· Vol 20· 0 citations· 57 references
TL;DR
Perceptions of AI-generated profile pictures and how disclosure of AI use shapes impressions suggest that disclosure of AI use primarily affects evaluations of the image as an object rather than person-level impressions.
Abstract
This study investigates perceptions of AI-generated profile pictures and how disclosure of AI use shapes impressions. In a preregistered experiment, U.S. adults (N = 817; ages 18–99, M = 47.83, SD = 18.79; 48% men and 50% women) evaluated what they were told were social media profile pictures. The 2 × 2 factorial design varied whether images, all with a professional headshot style, were AI-generated and whether they were disclosed as AI-generated. Across three outcomes, AI-generated images were rated as higher quality than professional photos of the same subjects, but disclosure that an image was AI-generated reduced perceived quality. On average, AI generation and disclosure did not significantly affect perceptions of the person's social attractiveness or trustworthiness. Exploratory analyses indicated that self-assessed AI knowledge moderated responses to disclosure: lower-knowledge respondents downgraded labeled images and the depicted person, whereas higher-knowledge respondents evaluated labeled images and the person more positively. Taken together, the findings suggest that disclosure of AI use primarily affects evaluations of the image as an object rather than person-level impressions.
With the growing application of generative artificial intelligence (AI) in fashion design and cultural and creative industries, AI-generated Chinese ethnic-minority fashion has created new opportunities for the contemporary transformation of traditional culture. However, whether consumers are willing to accept such...
Kui-Lin Wei, Jun Liu, Shuai Wang et al.· Frontiers in Psychology· 0 citations
It is argued that AI generation threatens the origin and craft components in proportion to how central they are to the brand in proportion to how central they are to the brand, and derives guidance on where AI content fits, how disclosure should be handled under emerging transparency requirements, and how brands can pr...
It is shown how perceived authenticity is formed, revised and sometimes unsettled during encounters with AIGIs, and HSM is extended into a heritage context where authenticity is tied to cultural memory, institutional trust and prior experience.
Dan Luo, Zi-Tao Chen, Wen-Yi Zhang· Kybernetes· 0 citations
AI-generated news is increasingly presented through combinations of text and visual content, making complete user-facing stimuli an important topic for credibility evaluation. This exploratory empirical evaluation examined perceived message credibility ratings across six implemented AI-generated news stimuli, organized...
As users increasingly engage with various unfamiliar artificial intelligence (AI) agents, initial impressions become crucial. AI agents’ self-disclosure can play a key role in shaping these impressions. This study aims to conceptualize AI agents’ self-disclosure, identify key user perceptual factors and examine how...
Min-Qian Yang, Pei-Luen Patirck Rau· Information Technology &...· 0 citations
Surprisingly, in consumer lifestyle content, an AI-generated caption can lead to improved perceptions and greater engagement, and there were also unexpected outcomes, including the revelation that labeling AI-generated content does not significantly affect consumer responses.
Vanessa Lau, Student In Marketing, Chi Thuy et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.