RESEARCH ON THE IMPACT OF AI IMAGE GENERATION ON USER SATISFACTION IN CHINESE SOCIAL MEDIA: A CASE OF XIAOHONGSHU APPLICATION

Abstract

This research explores the impact of AI-generated images on user satisfaction in Chinese social media, with a focus on the Xiaohongshu application.  The study is driven by the integration of AI in content creation, aiming to understand its effects on user engagement and satisfaction.  Employing qualitative methods, the paper examines user interaction data and feedback on Xiaohongshu to assess how AI-generated content influences user perception compared to human-generated content. Key theoretical frameworks like Technological Determinism, Consumer Behavior Theory, and the Technology Acceptance Model guide the analysis.  The findings reveal insights into user behavior and satisfaction levels in response to AI-generated images, discussing the implications for content creation strategies and AI applications in social media.  This study contributes both academically and practically, enhancing understanding of AI's role in social media and its impact on user engagement.