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April 10, 2026International Journal of Eating Disorders0 citations

The Role of Generative AI in Public Health Advocacy: Two Case Studies for Eating Disorders Policy

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SHStanley Y. B. HuangMing Chuan UniversityCHChuying HuoCenter for Strategic and International StudiesJKJill R. KavanaughCenter for Strategic and International Studies

Key Points

  • This research explores how generative AI can improve public health advocacy efforts, particularly for eating disorders policy.
  • Analyzed two case studies demonstrating the application of generative AI in public health advocacy.
  • Evaluated the integration of generative AI with existing advocacy frameworks.
  • Assessed the impact of generative AI on training and strategic insight for advocacy teams.
  • Generative AI tools successfully enhanced training capabilities for advocacy teams.
  • Community-based advocacy initiatives became more scalable and effective.
  • Strategic insights gained through AI integration led to improved campaign outcomes.

Abstract

Generative AI offers practical solutions for strengthening community-based public health policy advocacy. When integrated with established public health advocacy frameworks, these tools can help advocacy teams scale training efforts and garner strategic insights for robust advocacy campaigns.

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Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/69d8948f6c1944d70ce0576dhttps://doi.org/10.1002/eat.70092
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