Trust Vortex in Content Design for Social Media Platforms from the Perspective of Generative AI: An Empirical Study on Xiaohongshu’s Algorithmic Seeding Ecology

DOI

10.2991/978-2-38476-507-2_10How to use a DOI?

Keywords

Generative Artificial Intelligence (AIGC); User Trust; Platform Governance; Content Design

Abstract

This study focuses on the content creation strategies of generative artificial intelligence (AIGC) within social media platforms, using Xiaohongshu as a representative example to examine both the practical applications and existing challenges of AIGC technology. The findings indicate that in Xiaohongshu’s “community e-commerce combined with algorithmic recommendation” environment, AIGC has significantly improved efficiency in content generation through multimodal approaches. However, this advancement has also raised concerns regarding information authenticity and led to a decline in user trust. Drawing upon the theory of social presence, the research highlights a perceptual contradiction among users toward AIGC-generated content, which is primarily reflected in a dual response pattern: acceptance in entertainment settings versus resistance in consumption contexts. This divergence stems from the limited emotional depth and experiential richness conveyed by AIGC during interpersonal interactions, making it difficult to fulfill users’ need for “authenticity validation” in purchasing environments. An analysis of 200 survey responses and semi-structured interviews further uncovers how algorithmic mechanisms may suppress authentic consumer opinions, while the absence of clear identification for AI-generated content accelerates the erosion of trust. To reconcile technological performance with user confidence, the study recommends that platforms implement compulsory labeling standards and enhance transparency in algorithm operations. These measures aim to strike a balance between innovation efficiency and trust preservation, offering theoretical insights for building a trustworthy framework in community-driven e-commerce under the AIGC era.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Maofeng Liu
PY  - 2025
DA  - 2025/12/15
TI  - Trust Vortex in Content Design for Social Media Platforms from the Perspective of Generative AI: An Empirical Study on Xiaohongshu’s Algorithmic Seeding Ecology
BT  - Proceedings of the 2025 4th International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2025)
PB  - Atlantis Press
SP  - 93
EP  - 112
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-507-2_10
DO  - 10.2991/978-2-38476-507-2_10
ID  - Liu2025
ER  -