Our work “ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System” is accepted by 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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Our Work “Web3 Metaverse: State-of-the-Art and Vision” Is Accepted By ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

The metaverse, as a rapidly evolving socio-technical phenomenon, exhibits significant potential across diverse domains by leveraging Web3 (a.k.a. Web 3.0) technologies such as blockchain, smart contracts, and non-fungible tokens (NFTs). This survey aims to provide a comprehensive overview of the Web3 metaverse from a human-centered perspective. We systematically review the metaverse’s industrial (data from Dow Jones Factiva database) and academic (data from Google Scholar website) developments over the past 30 years, highlighting the balanced contributions from its core components: Web3, immersive convergence, and crowd intelligence communities.

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Our Work “MetaCast: A Self-Driven Metaverse Announcer Architecture Based on Quality of Experience Evaluation Model” Is Accepted By ACM MM’ 23

We propose a three-stage architecture for metaverse announcers, which is designed to identify events, position cameras, and blend between shots. Based on the architecture, we introduce a Metaverse Announcer User Experience (MAUE) model to identify the factors affecting the users’ Quality of Experience (QoE) from a human-centered perspective. In addition, we implement MetaCast, a practical self-driven metaverse announcer in a university campus metaverse prototype, to conduct user studies for MAUE model. The experimental results have effectively achieved satisfactory announcer settings that align with the preferences of most users, encompassing parameters such as video transition rate, repetition rate, importance threshold value, and image composition.

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Our Work on Comparative Analysis of Centralized and Decentralized Developer Autonomous Organizations Accepted by IEEE Transactions On Computational Social Systems

Our recent work, “A Comparative Analysis of Centralized and Decentralized Developer Autonomous Organizations Managing Conflicts in Discussing External Crises”, is accepted to be published in IEEE Transactions On Computational Social Systems. Understanding how online developer communities address conflicts that arise in discussions is essential to the collaboration issue. However, few studies have focused on the […]

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Our work “Altruistic and Profit-oriented: Making Sense of Roles in Web3 Community from Airdrop Perspective” is accepted by ACM CHI’23

Many decentralized applications (DApps) issue airdrops to early supporters for their contributions. However, most eligible users are motivated by financial profit or preferential access to tokens with governance rights to obtain quick cash. In this paper, we take ParaSwap as a representative example, trying to evaluate the Web 3.0 community and the effectiveness of allocation principles through the analysis of eligible users’ behavior and token transaction network.

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Our Work on Analyzing Player Behavior in Blockchain Games Accepted by ACM FDG’22

Our recent work titled “Towards Understanding Player Behavior in Blockchain Games: A Case Study of Aavegotchi” is accepted by the 17th International Conference on the Foundations of Digital Games (FDG 2022). Blockchain games introduces unique gameplay and incentive mechanisms by allowing players to be rewarded with in-game assets or tokens through financial activities. In practice, […]

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Our paper “Economic Analysis of Decentralized Exchange Market with Transaction Fee Mining” received the Best Paper Award from ACM BSCI’22!

In this paper, we establish the DEX market with transaction fee mining and formulate our model based on the Hotelling model. Besides, we propose a two-stage game to formulate the interaction between DEXs and users and derive the equilibriums under different conditions of two parameters: the transaction cost difference and users’ stickiness. We show that though the service provider with a lower transaction cost can win the market, users’ stickiness can offset the market advantage. Thus, incentivizing users with transaction fee mining has become a crucial strategy in the duopoly competition.

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Our Work “Metaverse for Social Good : A University Campus Prototye” Has Been Accepted by ACM MM’21

Our recent work “Metaverse for Social Good : A University Campus Prototye” has been accepted by the Brave New Ideas (BNI) track of 29th ACM International Conference on Multimedia (ACM MM 2021). In this paper, we propose a three-layer architecture for metaverse, including infrastructure, interaction, and ecosystem, and the key components in each layer are […]

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