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Toward an ecosystem of non-fungible tokens from mapping public opinions on social media

Author

Listed:
  • Yunfei Xing

    (Jilin University)

  • Justin Z. Zhang

    (University of North Florida)

  • Yuming He

    (Old Dominion University)

  • Yueqi Li

    (Jilin University)

Abstract

As blockchain technology advances, non-fungible tokens (NFTs) are emerging as unconventional assets in the commercial market. However, it is necessary to establish a comprehensive NFT ecosystem that addresses the prevailing public concerns. This study aimed to bridge this gap by analyzing user-generated content on prominent social media platforms such as Twitter, Weibo, and Reddit. Employing text clustering and topic modeling techniques, such as Latent Dirichlet Allocation, we constructed an analytical framework to delve into the intricacies of the NFT ecosystem. Our investigation revealed seven distinct topics from Twitter and Reddit data and eight topics from Weibo data. Weibo users predominantly engaged in reviews and critiques, whereas Twitter and Reddit users emphasized personal experiences and perceptions. The NFT ecosystem encompasses several crucial elements, including transactions, customers, infrastructure, products, environments, and perceptions. By identifying the prevailing trends and common issues, this study offers valuable guidance for the development of NFT ecosystems.

Suggested Citation

  • Yunfei Xing & Justin Z. Zhang & Yuming He & Yueqi Li, 2025. "Toward an ecosystem of non-fungible tokens from mapping public opinions on social media," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-24, December.
    • Handle: RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-024-00674-8
    DOI: 10.1186/s40854-024-00674-8
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