Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems 2023
DOI: 10.1145/3544549.3585861
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Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum

Abstract: Ethereum has become a popular blockchain with smart contracts for investors nowadays. Due to the decentralization and anonymity of Ethereum, Ponzi schemes have been easily deployed and caused significant losses to investors. However, there are still no explainable and effective methods to help investors easily identify Ponzi schemes and validate whether a smart contract is actually a Ponzi scheme. To fill the research gap, we propose PonziLens, a novel

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