Electronic Markets - The International Journal on Networked Business’ Post

We have published new research: "AI content labeling and user engagement on social media: The role of AI level, content type, and disclosure timing" by Freya Seeger, Michael Wessel & Christiane Lehrer. https://lnkd.in/erCPEufm As platforms and regulators move toward mandatory AI disclosures, this new study examines how these labels impact user engagement. Through two online experiments, the researchers investigated how the level of AI involvement, ranging from human-created to fully AI-generated, interacts with content types and the timing of disclosure. The findings suggest that labeling content as AI-involved generally reduces affective and behavioral engagement compared to human-created posts. This trend is particularly pronounced with emotional content. The study also suggests that late disclosure can mitigate some negative effects for AI-enhanced work, though it is less effective for fully AI-generated content. These insights provide critical guidance for creators and platforms seeking to balance transparency with maintaining audience connection. #InformationSystems #GenerativeAI #SocialMediaResearch #DigitalContent #UserEngagement #ContentLabeling #UserEngagement #SocialMedia #AlgorithmicAversion

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