ORIGINAL RESEARCH article
Front. Psychol.
Sec. Media Psychology
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1625671
This article is part of the Research TopicPsychological Health in the Digital Age across Global CommunitiesView all 4 articles
On Sentiment Recognition Mechanism in Black Myth ： Wukong Player Communication on Youtube
Provisionally accepted
Tang QinLi1
Feng Gan2*- 1Anhui Broadcasting Movie And Television College, Hefei, China
- 2Southeast University, NanJing, China
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As digital games become an important medium for global cultural dissemination, social media platforms have gradually become the primary space for players to express emotions and interact. However, systematic research on emotional expression and communication mechanisms within gaming communities is still relatively weak, particularly in cross-cultural contexts, where the impact of opinion leaders and abnormal interaction behaviors has not been thoroughly explored. Based on user comments of Black Myth: Wukong on YouTube, this study uses natural language processing (NLP) and social network analysis methods, combined with sentiment analysis and topic modeling (LDA), to analyze 7,604 comments in terms of sentiment distribution, interaction intensity, and identification of potential manipulation behaviors. The results show that the majority of comments are neutral to positive in sentiment, with discussions focusing on game mechanics and cultural narratives. Some high-engagement comments display signs of opinion guidance or "water army" interference, particularly in discussions on specific topics and storylines. This study further expands the application of social network theory and sentiment assessment theory in gaming community research, providing theoretical support and practical value for cross-cultural acceptance studies, false interaction detection, and digital community governance.
Keywords: Game Communities, Emotional mechanism, opinion leaders and fake engagement, cross-cultural communication, user comments and behavior analysis
Received: 09 May 2025; Accepted: 09 Sep 2025.
Copyright: © 2025 QinLi and Gan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Feng Gan, Southeast University, NanJing, China
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