School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu 611130, China.
School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China.
Int J Environ Res Public Health. 2022 Oct 6;19(19):12793. doi: 10.3390/ijerph191912793.
Online game products have fueled the boom in China's digital economy. Meanwhile, its public health concerns have sparked discussion among consumers on social media. However, past research has seldom studied the public health topics caused by online games from the perspective of consumer opinions. This paper attempts to identify consumers' opinions on the health impact of online game products through non-structured text and large-size social media comments. Thus, we designed a natural language processing (NLP) framework based on machine learning, which consists of topic mining, multi-label classification, and sentimental analysis. The hierarchical clustering method-based topic mining procedure determines the compatibility of this study and previous research. Every three topics are identified in "Personal Health Effects" and "Social Health Effects", respectively. Then, the multi-label classification model's results show that 61.62% of 327,505 comments have opinions about the health effects of online games. Topics "Adolescent Education" and "Commercial Morality" occupy the top two places of consumer attention. More than 31% of comments support two or more topics, and the "Adolescent Education" and "Commercial Morality" combination also have the highest co-occurrence. Finally, consumers expressed different emotional preferences for different topics, with an average of 63% of comments expressing negative emotions related to the health attributes of online games. In general, Chinese consumers are most concerned with adolescent education issues and hold the strongest negative emotion towards the commercial morality problems of enterprises. The significance of research results is that it reminds online game-related enterprises to pay attention to the potential harm to public health while bringing about additional profits through online game products. Furthermore, negative consumer emotions may cause damage to brand image, business reputation, and the sustainable development of the enterprises themselves. It also provides the government supervision departments with an advanced analysis method reference for more effective administration to protect public health and promote the development of the digital economy.
网络游戏产品推动了中国数字经济的繁荣。与此同时，其公共卫生问题也在社交媒体上引发了消费者的讨论。然而，过去的研究很少从消费者意见的角度研究网络游戏引起的公共卫生问题。本文试图通过非结构化文本和大规模社交媒体评论来识别消费者对网络游戏产品健康影响的意见。因此，我们设计了一个基于机器学习的自然语言处理（NLP）框架，该框架由主题挖掘、多标签分类和情感分析组成。基于层次聚类方法的主题挖掘过程确定了本研究与以往研究的兼容性。在“个人健康影响”和“社会健康影响”中分别确定了三个主题。然后，多标签分类模型的结果表明，在 327505 条评论中，有 61.62%的评论对网络游戏的健康影响有意见。主题“青少年教育”和“商业道德”占据了消费者关注的前两名。超过 31%的评论支持两个或更多主题，“青少年教育”和“商业道德”的组合也具有最高的共现性。最后，消费者对不同的主题表达了不同的情感偏好，平均有 63%的评论表达了与网络游戏健康属性相关的负面情绪。总的来说，中国消费者最关心青少年教育问题，对企业商业道德问题持最强的负面情绪。研究结果的意义在于，它提醒与网络游戏相关的企业在通过网络游戏产品带来额外利润的同时，要注意对公众健康的潜在危害。此外，负面的消费者情绪可能会对品牌形象、商业声誉和企业自身的可持续发展造成损害。它还为政府监管部门提供了一个先进的分析方法参考，以便更有效地管理，保护公众健康，促进数字经济的发展。
