NFTDisk: Visual detection of wash trading in NFT markets

• Main Authors: WEN, Xiaolin, WANG, Yong, YUE, Xuanwu, ZHU, Feida, ZHU, Min
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Automatic algorithms; Digital assets; Manual inspection; Non-fungible token; Novel visualizations; Trading volumes; Visual analytics; Visual detection; Visualization modules; Wash trading; Databases and Information Systems; Digital Communications and Networking; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/8515; https://ink.library.smu.edu.sg/context/sis_research/article/9518/viewcontent/NFTDisk.pdf
• Institution: Singapore Management University

With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets, various fraudulent activities have appeared in NFT markets. Among them, wash trading has become one of the most common frauds in NFT markets, which attempts to mislead investors by creating fake trading volumes. Due to the sophisticated patterns of wash trading, only a subset of them can be detected by automatic algorithms, and manual inspection is usually required. We propose NFTDisk, a novel visualization for investors to identify wash trading activities in NFT markets, where two linked visualization modules are presented: a radial visualization module with a disk metaphor to overview NFT transactions and a flow-based visualization module to reveal detailed NFT flows at multiple levels. We conduct two case studies and an in-depth user interview with 14 NFT investors to evaluate NFTDisk. The results demonstrate its effectiveness in exploring wash trading activities in NFT markets.