Consumer-Perceived Risks and Sustainable Development of China’s Online Gaming Market: Analysis Based on Social Media Comments

Author:

Lin Ling1ORCID,Shu Tao2ORCID,Yang Han3,Wang Jun4,Zhou Jixian1,Wang Yuxuan5

Affiliation:

1. School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu 611130, China

2. School of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China

3. School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China

4. School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China

5. School of Computer Science, University of Nottingham, Nottingham NG7 2RD, UK

Abstract

Online gaming constitutes an indispensable facet of China’s digital economy, catalyzing consumer discussions on social media platforms. This study employs a comprehensive natural language processing framework, encompassing topic mining, multi-label classification, and sentiment analysis, to evaluate consumers’ psychological perceptions of the risks associated with online games through social media comments. This study identifies 11 distinct perceived risk topics, including “Excessive Temptation”, “Entry Regulation”, and “Culture Implantation”. Numerous comments encompass multiple topics, each infused with diverse emotional inclinations, thus unveiling disparate consumer perspectives. These findings underscore the critical significance of addressing potential perceived risks and mitigating negative consumer emotions for enterprises operating within online gaming. Such measures are pivotal to maintaining a brand image, business reputation, and enduring growth. Furthermore, this study extends valuable insights to regulatory bodies, contributing to enhancing administrative efficiency, safeguarding consumer rights, and fostering a robust and sustainable trajectory within China’s online gaming market.

Funder

Automatic Software Generation and Intelligence Service Key Laboratory of Sichuan Province

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comprehensive study on deep-learning-based online course review analysis;Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence;2023-12-22

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