Copycats vs. Original NFTs Detection: A Design Science Approach
Files
Date
2023-01-03
Authors
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
4536
Ending Page
Alternative Title
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.
Description
Keywords
The Social and Economic Dynamics of the Metaverse, Smart Contracts, and Non-Fungible Tokens, image analysis, intellectual property protection, nft and copycat, nft pricing, text analysis
Citation
Extent
7
Format
Geographic Location
Time Period
Related To
Proceedings of the 56th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.