Dressed to Gamble: How Poker Drives the Dynamics of Wearables and Visits on Decentraland's Social Virtual World
<|reference_start|>Dressed to Gamble: How Poker Drives the Dynamics of Wearables and Visits on Decentraland's Social Virtual World: Decentraland is a blockchain-based social virtual world touted to be a creative space owned by its community. In it, users can publish wearables used to customize avatars, which can be then sold or given away via blockchain transfers. Decentral Games (DG), a single project owning prominent in-world casinos, has by far created the most wearables, necessary to earn cryptocurrency in its flagship game ICE Poker. Herein, we present a comprehensive study on how DG and ICE Poker influence the dynamics of wearables and in-world visits in Decentraland. To this end, we analyzed 5.9 million wearable transfers made on the Polygon blockchain (and related sales) over a two-year period, and 677 million log events of in-world user positions in an overlapping 10-month period. We found that the platform-wise number of transfers and sales monetary value of wearables were disproportionally related to DG, and that its two ICE Poker casinos (less than 0.1% of the world map) represented a very large average share of daily unique visitors (33%) and time spent in the virtual world (20%). Despite several alternative in-world economic and artistic initiatives in Decentraland, some of which have attracted much attention from the general public, a single third-party online poker game appears to be the main driver of the analyzed dynamics. Our work thus contributes to the current understanding of user behavior in social virtual worlds, and it is among the first to study the emerging phenomenon of blockchain-based online gambling in virtual reality spaces.<|reference_end|>
@article{trujillo2024dressed,
    title={Dressed to Gamble: How Poker Drives the Dynamics of Wearables and Visits
  on Decentraland's Social Virtual World},
    author={Amaury Trujillo, Clara Bacciu, Matteo Abrate},
    journal={arXiv preprint arXiv:2407.15625},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.15625},
    primaryClass={cs.CY}
}