A Survey of Human Synergy in Influencer Marketing Through Authenticity-Preserving Content Generation Approaches

Nafi Diallo, Pegah Ojaghi; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025, pp. 6033-6040

The rapid integration of artificial intelligence (AI) in influencer marketing has transformed the industry, offering enhanced efficiency and scalability, while raising critical concerns about authenticity, transparency, and consumer trust preservation. This survey examines current approaches to human-AI collaboration in influencer marketing, analyzing how brands can leverage AI-powered content generation while maintaining the credibility and transparent relationships that drive consumer engagement. Through comprehensive analysis of existing literature on influencer credibility, disclosure practices, and consumer trust mechanisms, we present a taxonomy of authenticity-preserving content generation methods. Our findings reveal that strategic AI-human collaboration must navigate complex consumer awareness of advertising tactics, advertising literacy, and skepticism while maintaining the transparency and source credibility that underpin successful influencer marketing. Key approaches emerging from this analysis include transparent AI-assisted content frameworks, trust-reinforcing workflows between influencers and audiences, and disclosure practices that acknowledge evolving consumer awareness. We identify critical challenges including balancing productivity gains with authenticity, maintaining genuine relationships in technology-supported content creation, and adapting to increasing consumer advertising literacy. This survey provides strategic guidance for practitioners and researchers to effectively integrate AI capabilities while preserving the human elements essential for sustainable success in influencer marketing.