NFTDisk: Visual Detection of Wash Trading in NFT Markets
February 12, 2023 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
"No code URL or promise found in abstract"
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Authors
Xiaolin Wen, Yong Wang, Xuanwu Yue, Feida Zhu, Min Zhu
arXiv ID
2302.05863
Category
cs.HC: Human-Computer Interaction
Citations
34
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
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.
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