Investigating the cognitive impact mechanisms of AI-generated content on users in the context of media convergence
Jinshuai Wang
Media Studies, Faculty of Arts and Social Sciences, University of Malaya
Shaozhe Guo
Media Studies, Faculty of Arts and Social Sciences, University of Malaya
DOI: https://doi.org/10.59429/esta.v12i3.11364
Keywords: AI-generated content; media convergence; user cognition; source credibility; digital media; information processing
Abstract
The rapid integration of artificial intelligence (AI) in media production has significantly transformed content creation and consumption patterns. In the context of media convergence, AI-generated content (AIGC) plays an increasingly influential role in shaping user cognition, attitudes, and behaviors. This paper explores the cognitive impact mechanisms of AIGC on users, focusing on perceived authenticity, source credibility, cognitive overload, and selective exposure. By adopting a mixed-methods approach that includes a quantitative survey and qualitative interviews, we examine how different types of AIGC (e.g., news, marketing, entertainment) affect user trust, memory retention, and information processing. The findings reveal that while AIGC enhances engagement through personalization and relevance, it also raises challenges related to misinformation, echo chambers, and cognitive fatigue. This research provides insights for media practitioners, AI developers, and policymakers on fostering ethical AI-mediated communication and improving digital literacy in the age of converged media.
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