Research on Methods for Optimizing Generative AI Content in Social Media Brand Marketing
Abstract
the social media ecosystem. The study focuses on the underlying principles of AI in content creation and proposes optimization strategies for
aspects such as multimodal content generation, algorithm adaptation, and emotional interaction. Additionally, a comprehensive mechanism is
constructed, including evaluation metrics, real-time optimization, and human-computer collaboration, to help brands achieve precise and efficient content dissemination in the dynamic social media environment.
Keywords
Full Text:
PDFReferences
[1] Li Hui, Zhang Mengying. Application Scenarios, Risks and Challenges, and Improvement Strategies of Generative Artificial Intelligence
Empowering High-Quality Development of the Cultural and Tourism Industry [J/OL]. Dongyue Forum, 2025, (12): 98-111 192 [2026-
01-09].
[2] Li Yang, Liu Bozhen. Risk Patterns and Governance Paths of Online Information Content in the Era of Generative AI [J]. Library and
Information, 2025, (06): 43-52.
[3] Deng Xiujun, Zhao Yueyan. Adaptation and Internalization of Occupational Demand and Technological Affordance: A Study on Media
Practitioners' Willingness to Adopt Generative Artificial Intelligence under the Influence of "Exposure-Perception" Factors [J]. Journalism Frontier, 2025, (10): 59-75.
DOI: http://dx.doi.org/10.70711/aitr.v4i1.9651
Refbacks
- There are currently no refbacks.