Research Article

The Labor Transformation and Alienation Mechanism of Fan Culture in the Platform Society

Siqi YuUniversity of Shanghai for Science and Technology*

* Corresponding author: [email protected]

Abstract

This study examines the alienation mechanism of fan cultural practices within the platform society, investigating how the technical architecture and commercial logic of new media platforms transform participatory culture, rooted in emotion and community, into digital labor. Besides, the study explores how this process affects fans' identity, reinforces group cohesion, and triggers social phenomena such as information cocoons and group polarization. Specifically, by reviewing existing literature, this paper analyzes, from the perspectives of the political economy of communication and mediatization theory, how platforms shift the environment of cultural participation towards one of data labor. It examines how algorithmic recommendation, quantitative indicators, and competitive rules constitute the technical mechanism of laborization. Furthermore, it discusses how fans, as active agents, reconstruct their identity and sense of community belonging by internalizing data logic, thereby becoming active labor subjects. The findings indicate that this interactive process fosters highly cohesive yet exclusionary digital communities, leading to collective consequences such as cognitive narrowing and social segmentation.

Keywords: Participatory culture; Digital labor; Platform Society; identity; Mediatization
Published: April 13, 2026
DOI: 10.54254/2753-7064/2026.BJ32684
Volume: CHR Vol.105
pp. 210-216
Download PDF

References

  1. Jenkins, H. (2009). Confronting the Challenges of Participatory Culture: Media Education for the 21st Century. MIT Press.
  2. van Dijck, J., Poell, T., & de Waal, M. (2018). The Platform Society: Public Values in a Connective World. Oxford University Press.
  3. Tian, L., & Liang, F. (2023). Cultural porters and banyun in Chinese fandoms on Bilibili. Transformative Works and Cultures, 41. https: //doi.org/10.3983/twc.2023.2281
  4. Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work?--a literature review of empirical studies on gamification. In 2014 47th Hawaii International Conference on System Sciences (pp. 3025-3034). IEEE.
  5. Fuchs, C. (2020). Communication and Capitalism: A Critical Theory. University of Westminster Press.
  6. Taylor, S. H., & Choi, M. (2022). An Initial Conceptualization of Algorithm Responsiveness: Comparing Perceptions of Algorithms Across Social Media Platforms. Social Media + Society, 8(4), 1-14.
  7. Chen, Q., & Hu, Y. (2024). The "algorithmic imagination" of fan communities: Mediation, materiality, and emotion. Journalism & Communication, (1), 42-53.
  8. Wang, E. N. (2024). Participatory Censorship with Illusory Empowerment: Algorithmic Folklore and Interpretive Labor beyond Fandom. Social Media + Society, 10(4), 1-12. https: //doi.org/10.1177/20563051241287395
  9. Hills, M. (2022). Fan Studies. In M. A. Click & S. Scott (Eds.), The Routledge Companion to Media Fandom (pp. 25-35). Routledge.
  10. Gao, Y. (2021). A study of emotional labor in fan communities: A case study of "traffic stars" fans. Tsinghua University.
  11. Lorant, E. (2024). The Gag City Grammar Police: Language and Algorithmic Community on Stan Twitter. Dalhousie University.
  12. Jing, Q. (2023). A brief analysis of the formation of "shared knowledge" in fan communities. Western Broadcasting & Television, 44(01), 78-80.
  13. Zhang, J., & Wang, L. (2021). From "digital labor" to "emotional labor": An exploration of the labor logic of online live-streaming fans. Frontiers, (03), 104-115.