Algorithmicized bodies: Account nurturing behaviors on Chinese short video platforms.

Based on in-depth interviews with 18 Chinese TikTok account nurturers and three months of online ethnographic observation, this study reveals how platform algorithms reconstruct users' physical bodies. The research shows that users seeking platform visibility "voluntarily" accept systematic algorith...

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Bibliographic Details
Published in:Big Data & Society Vol. 13; no. 1; pp. 1 - 14
Main Author: Quan, Yizhang
Format: Article
Published: Sage Publications Inc. Jan-Mar2026
Subjects:
Online Access:View this record in EBSCOhost
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        atl: Algorithmicized bodies: Account nurturing behaviors on Chinese short video platforms.
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        au: Quan, Yizhang
        affil: School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China
      su:
        TikTok (Web resource)
        Social control
        Human behavior
        Social media
        Social alienation
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          TikTok (Web resource)
          Social control
          Human behavior
          Social media
          Social alienation
      keyword:
        account nurturing
        algorithmicized body
        algorithms
        disciplinary theory
        platforms
      ab: Based on in-depth interviews with 18 Chinese TikTok account nurturers and three months of online ethnographic observation, this study reveals how platform algorithms reconstruct users' physical bodies. The research shows that users seeking platform visibility "voluntarily" accept systematic algorithmic modifications to their bodies. Users: (1) manipulate their physiological rhythms, forming an "algorithmic clock"; (2) correct body postures, developing highly precise "movement patterns"; and (3) utilize painful bodily experiences to create "suffering capital." I conceptualize these findings as the "algorithmicized body." These practices present a significant paradox. Users willingly accept and intensify their alienation while pursuing autonomy. They instrumentalize basic physiological functions as traffic resources. By analyzing this microprocess of self-exploitation, the research reveals how platform algorithms not only control behavior as disciplinary devices but also penetrate and reshape users' physiological foundations and perceptual systems. The study extends disciplinary theory to algorithmic environments and offers important insights for platform design ethics and user rights protection.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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