A Bibliometric Analysis of the Impact of AI-Generated Content on Consumer Decision Making
With the rapid advancement of artificial intelligence (AI), AI-generated content (AIGC) has become increasingly prevalent, significantly influencing various aspects of consumer behavior. This research utilizes CiteSpace for bibliometric analysis to explore how AIGC impacts consumer decision-making and , based on 312 scholarly articles published between 2018 and 2024 from the Web of Science database. Results indicate substantial growth in AIGC studies, particularly post-2021, highlighting its role in enhancing customer experience, consumer trust, and personalized marketing strategies. Emerging research areas identified include augmented reality (AR), virtual reality (VR), and ethical considerations. Leading contributions come from institutions in the United States, China, and the United Kingdom. The study proposes further research on psychological mechanisms, multimodal marketing content, cross-cultural adaptability, ethical frameworks, and applications in emerging e-commerce models.
Authors
- Sirui Fu
- Y. Ke (ORCID: https://orcid.org/0000-0001-5798-6665)
Institutions
- Sichuan University (CN)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/icaibd64986.2025.11082023
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00