ScholarWorks@성균관대학교

초록

Although social media platforms are beginning to implement policies for labeling AI usage in posts, we do not know how this labeling affects user perceptions and which types of labeling source and language would be most effective. What does AI-generated content mean to users? What are users’ perceptions of the content, content creator, and platform that has AI-labeled content? Do the effects differ depending on whether the label is attributed to the user or the platform? A focus group study (N=14) revealed that users appreciate how AI helps to create better content. However, their perceptions of AI-labeled content are shaped by their mental models of how social media algorithms work. Some participants viewed AI-labeled content as more trendy, while others saw it as direct advertisements. Some believed the content to be automatically fake, but their reactions varied depending on the type of content or account. Regarding labeling source, users preferred self-labeling over platform labeling. We discuss theoretical and practical implications for the design of social media interfaces for disclosing AI usage. © 2025 Copyright held by the owner/author(s).

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