This research investigates how both human-created and Artificial Intelligence-generated ´true story´ content on TikTok influences the perceptions of Generation Z. Given the rapid proliferation of Artificial Intelligence technologies in digital content creation, the study addresses critical concerns over the evolving landscape of information delivery and reception among young audiences. The use of Artificial Intelligence in producing relatable narratives blurs boundaries between authentic experience and algorithmically crafted storytelling, posing new challenges for media literacy and trust.
Drawing on the elaboration likelihood theory, which examines how people process persuasive information, the study analyzes the potential differences in how Generation Z interprets and evaluates TikTok content depending on its origin—whether by human creators or generated via Artificial Intelligence. The theory posits that the route—central or peripheral—through which individuals process information can significantly shape their attitudes and beliefs. This framework allows researchers to explore whether Generation Z engages more thoughtfully with stories perceived as authentic or if they are equally persuaded by the technical polish and personalization Artificial Intelligence can provide.
The findings highlight the implications for digital content creators, platform regulators, and educators who seek to foster critical digital literacy. As Artificial Intelligence continues to play a larger role in media production, understanding its psychological and social impact is essential for maintaining trust in digital narratives. The research urges further examination into the ethical considerations and long-term effects of blending human and Artificial Intelligence-generated content, especially as platforms like TikTok become primary sources of information and storytelling for younger generations.
