Abstract
This study examined the public opinions of esports at the 2023 Asian Games and value cocreation during the event using an LLM-enhanced BERTopic modeling analysis. We identified five major themes representing public perceptions, as well as how major stakeholders co-created value within and beyond the esports ecosystem. Key findings highlighted the strategic use of social media marketing to influence public opinion and promote esports events and brands, emphasizing the importance of event logistics and infrastructure. Additionally, the study revealed the co-creation value contributed by stakeholders outside the traditional esports ecosystem, particularly in promoting national representation and performance. Our findings supported the ongoing efforts to legitimize esports as a sport, noting that mainstream recognition remains a challenge. The inclusion of esports as a medal event showcased broader acceptance and helped mitigate negative public perceptions. Moreover, contributions from non-traditional stakeholders underscored the value of cross-subcultural collaborations in esports.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025 |
| Editors | Tung X. Bui |
| Publisher | IEEE Computer Society |
| Pages | 4303-4312 |
| Number of pages | 10 |
| ISBN (Electronic) | 9780998133188 |
| DOIs | |
| State | Published - 2025 |
| Event | 58th Hawaii International Conference on System Sciences, HICSS 2025 - Honolulu, United States Duration: Jan 7 2025 → Jan 10 2025 |
Publication series
| Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| ISSN (Print) | 1530-1605 |
Conference
| Conference | 58th Hawaii International Conference on System Sciences, HICSS 2025 |
|---|---|
| Country/Territory | United States |
| City | Honolulu |
| Period | 1/7/25 → 1/10/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE Computer Society. All rights reserved.
Keywords
- gaming
- machine learning
- natural language processing
- social media
- value co-creation
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