Advertising Regulation in the AI Era: Research Landscape and Future Directions via Text Mining and Topic Modeling

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Key Points

To analyze the trends and changes in advertising regulation research over 31 years, focusing on implications in the AI era.
Conducted a systematic literature review of 67 research papers from 1994 to 2025.
Utilized LDA topic modeling, TF-IDF analysis, and semantic network analysis for insights.
Investigated gaps and recommended future research directions in advertising regulation.
Identified a paradigm shift is necessary for advertising regulation in the AI era.
Emphasized urgency in exploring new areas like algorithm-driven regulation and platform accountability.
Highlighted the need for interdisciplinary research between advertising and law.

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This research analyzes advertising regulation trends in the AI era, suggesting urgent new research areas.

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Yoo et al. (2026) studied this question.

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