The article investigates gender and racial biases in NFT pricing using a novel dataset. It details the process of collecting NFT data from OpenSea, focusing on 44 collections with gender labels and a limited number of collections for race labeling. The methodology emphasizes statistical analysis to quantify biases, aiming to provide insights on how societal roles may influence perceptions of digital asset value. This research represents the first considerable effort to shed light on the intersection of NFTs and socio-political factors, highlighting potential areas for future exploration.
The study aims to unveil potential gender and racial biases in NFT pricing, providing the first comprehensive dataset with gender labels across various NFT collections.
Our analysis uniquely highlights that while NFTs are reshaping digital ownership, they may also reflect and perpetuate societal biases related to gender and race.
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