Title: Application of text mining analysis in understanding GameFi adoption

Authors: Yimiao Zhang; Jing Ren; Wenting Liu; Ding Ding

Addresses: School of Business, Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore ' School of Business, Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore ' School of Business, Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore ' School of Business, Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore

Abstract: Blockchain-based gaming industry has been expanding over the past two years, but the GameFi sector has yet to solve its biggest problem - the lack of mass gamer adoption. In this work, text mining was leveraged to study the adoption status of GameFi and explore the possible requirements and concerns of game players regarding blockchain games. Quora questions relating to GameFi were collected to examine the key topics discussed by GameFi users or potential users. Our findings disclosed that GameFi is in the early stage of the innovation diffusion process and has not been widely adopted by the public. Individuals are concerned about the risk and return of play-to-earn (P2E) games, and some potential users are deterred by the high entry barriers of GameFi. Through studying the opinions of players or potential players, this study sheds some light on the possible strategies for improving blockchain game design in the near future.

Keywords: GameFi; P2E; play-to-earn; mass adoption; text analysis.

DOI: 10.1504/IJDATS.2025.144964

International Journal of Data Analysis Techniques and Strategies, 2025 Vol.17 No.1, pp.1 - 19

Received: 05 Feb 2024
Accepted: 20 May 2024
Published online: 14 Mar 2025 *

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