Volume 3 · Issue 1 (2026)
Research on the Damage Mechanism and Governance Path of Labor Rights and Interests of Takeaway Crowdsourcing Riders Under the Training of Algorithmic Regulations
Jingwei Wu*, Keyu Zhu, Jiayue Ye, Qi Qi, Shengwen Zhu
1 College of Teacher Education, Quzhou University, Quzhou, Zhejiang, China
Corresponding Author: Jingwei Wu (wjw17858599810@126.com)
Abstract: Under the background of platform economy, algorithm has become the core governance tool of labor process in takeaway industry. This paper focuses on the algorithm scheduling mechanism such as Meituan's super brain system, combined with Wang Xin et al. (2024)'s empirical research on excessive labor and occupational injury, through interviews and judicial case analysis, systematically analyzes the damage mechanism of the algorithm to the rider's rights and interests in the aspects of distribution timeliness compression, income distribution imbalance and labor intensity alienation, and reveals the essential causes of the problems such as 'overtime deduction' and 'order pressing' . Finally, a three-dimensional governance path of 'algorithm transparency + government supervision + platform responsibility' is proposed, which provides theoretical support and practical reference for the protection of workers' rights and interests in the new employment form.
Keywords: Algorithm training; Takeaway crowdsourcing riders; Labor rights; Algorithm transparency; Government regulation
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