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

Yunfei Xing (), Justin Z. Zhang (), Yuming He () and Yueqi Li ()
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Yunfei Xing: Jilin University
Justin Z. Zhang: University of North Florida
Yuming He: Old Dominion University
Yueqi Li: Jilin University

Financial Innovation, 2025, vol. 11, issue 1, 1-24

Abstract: 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.

Keywords: NFTs; Public opinion; Comparative analysis; Text clustering; Topic identification; Twitter; Weibo; Reddit (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1186/s40854-024-00674-8

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