Copycats vs. Original NFTs Detection: A Design Science Approach

Abstract

The Non-Fungible Token (NFT) makes trading digitalized artworks online possible, which creates great opportunities in the artwork markets. Besides the extraordinary wealth it has created, the NFT trading market also brings many issues, such as intellectual property protection. Although there are a large number of transactions happening every day in the NFT market, there is no platform mechanism built to avoid copycat behaviors happening blatantly. In this paper, we propose a copycat detection and investigation framework. Besides, we propose to examine the effect of copycats on the price of original NFTs. The proposed project contributes to the literature on NFT management and NFT copyright, and also helps the NFT developers to protect their rights and benefits and helps NFT platforms to avoid potential legal issues.