Our work “ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System” is accepted by ACM WWW’24
Airdrops have become a standard tactic in Web3 business operations, with Decentralized Applications (DApps) distributing tokens to encourage user engagement based on smart contract rules. This practice has led to the emergence of “airdrop hunters,” individuals who collect wallet addresses to claim these generous token giveaways by interacting with the contracts. While airdrops are beneficial for attracting early DApp users, the self-trading activities of hunters to appear as active participants threaten the ecosystem’s integrity and challenge the decentralization goals of DApps. DApp teams face the challenge of detecting airdrop hunters without disadvantaging genuine users.
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