人工智能在社交媒体品牌声誉管理中的应用研究——以微博智搜为例

Research on the Application of Artificial Intelligence in Brand Reputation Management on Social Media —A Case Study of Weibo Zhisou

摘要: 随着社交媒体成为品牌舆情的主要发生场域，人工智能技术在品牌声誉管理中的应用日益广泛。本文以微博智搜为国内代表性AI舆情工具样本，探讨人工智能如何通过情感分析、语义建模与传播路径识别等手段，辅助品牌实现舆情预警与危机应对。研究表明，AI在提升情绪识别效率、缩短响应周期与优化策略建议方面具有明显优势，但也面临算法偏误、可解释性不足与隐私争议等行业共性挑战。文章建议构建AI与人工混合治理机制，并完善平台责任与用户信任机制，以实现品牌声誉管理的可持续发展。

Abstract: As social media has become the primary arena for brand public opinion, artificial intelligence is increasingly widely applied in brand reputation management. Taking Weibo Zhisou, a representative domestic AI public opinion tool, as the research sample, this paper explores how artificial intelligence assists brands in public opinion early warning and crisis response through sentiment analysis, semantic modeling and communication path identification. The research finds that AI boasts remarkable advantages in improving sentiment recognition efficiency, shortening response cycles and optimizing strategic suggestions. Meanwhile, it also faces common industrial challenges including algorithmic bias, poor interpretability and privacy disputes. This paper proposes establishing a hybrid governance mechanism combining AI and manual work, and improving platform accountability and user trust mechanisms to achieve the sustainable development of brand reputation management.