Research on the Dissemination Effect of AIGC-generated Content on New Media Platforms: A Case Study of Xiaohongshu
Main Article Content
Keywords
AIGC; new media platforms; propagation effect; Xiaohongshu
Abstract
With the rapid development of artificial intelligence technology, AIGC (Artificial Intelligence Generated Content) technology has shown strong application potential and communication effect on new media platforms. Taking Xiaohongshu as an example, this paper deeply discusses the communication effect of AIGC-generated content on new media platforms. Through empirical analysis, this paper reveals how AIGC technology affects content creation, communication efficiency and user interaction, and analyzes the mechanism, influencing factors and future development trends behind it. The purpose of this article is to provide valuable reference and inspiration for content creators, brand owners and platform managers of new media platforms.
References
- Cai, J. (2023). The impact of AIGC on the all-media production and communication system and countermeasures. Media, 399(10), 16-20.
- China Institute of Information and Communications, & Jingdon Institute of Exploratory Research. (2022, September 2). Artificial intelligence generation content (AIGC) white paper. http://www.caict.ac.cn/sytj/202209/t20220913_408835.htm
- She, X., & Song, J. (2024, July 17). AI copywriting is capturing Xiaohongshu. Tencent. https://view.inews.qq.com/a/20240717A014DP00
- TOP Industry Report. (2024, April 30). China AIGC application panorama report. Sohu. https://m.sohu.com/a/775283088_121826715/?Pvid=000115_3w_a
- Turing, A. M. (1950). Computing machinery and intelligence. Mind, LIX(236), 433-460. https://doi.org/10.1093/mind/LIX.236.433
- Wei, L., & Chen, X. (2023). New challenges and opportunities for international communication in the AIGC era. China Publishing House.