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The impact of AI-generated content on content consumption habits of Chinese social media users through Xiaohongshu application

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  • Chen Zhe
  • Prakaikavin Srijinda

Abstract

This study aims to analyze the effects of artificial intelligence-generated content and human-generated content on user cognition, interaction and satisfaction in Xiaohongshu application. The samples are 500 active Xiaohongshu users in China's first - and second-tier cities, including white-collar workers, students, freelancers selected through multi-stage random sampling. The research instrument is a questionnaire. Data were analyzed by statistical methods such as multiple linear regression analysis, T-test and Pearson correlation analysis were used to compare the differences between AI-generated content and human-generated content in terms of user satisfaction, time of use, recommendation quality, personalization satisfaction, content creativity and understanding of user needs. The findings revealed that AI-generated content shows significant advantages in improving user satisfaction and interaction, and the conclusions provide empirical support for the content optimization of social media platforms.

Suggested Citation

  • Chen Zhe & Prakaikavin Srijinda, 2024. "The impact of AI-generated content on content consumption habits of Chinese social media users through Xiaohongshu application," Edelweiss Applied Science and Technology, Learning Gate, vol. 8(6), pages 1504-1516.
    • Handle: RePEc:ajp:edwast:v:8:y:2024:i:6:p:1504-1516:id:2268
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