 The impact of AI-generated content on content consumption habits of Chinese social media users through Xiaohongshu applicationChen Zhe () and Prakaikavin Srijinda () Edelweiss Applied Science and Technology, 2024, vol. 8, issue 6, 1504-1516 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. Keywords: Artificial intelligence generates content; Customer Satisfaction; User cognition; User interaction; Xiaohongshu application. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:8:y:2024:i:6:p:1504-1516:id:2268 Access Statistics for this article More articles in Edelweiss Applied Science and Technology from Learning Gate |
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