算法管理与劳动异化：基于马克思主义异化劳动理论的直播电商劳动过程研究

Algorithm Management and Labor Alienation: Research on the Labor Process of Live E-Commerce Based on Marxist Alienation Labor Theory

摘要: 智能算法作为直播电商等平台经济的核心驱动力，在重塑劳动过程的同时，也引发了新型的劳动异化现象。本文基于马克思的异化劳动理论，构建适用于分析电商平台劳动的分析框架，系统阐述算法管理如何导致劳动者与劳动产品、劳动过程、类本质以及社会关系发生异化。研究表明，在资本逻辑的主导下，算法从效率工具异化为控制手段，使电商平台上的创作者、主播、客服等数字劳动者倾向于陷入数字奴役与自我剥削的困境。为应对此挑战，本文提出应从规范资本行为、构建行业伦理、提升劳动者数字素养等多维度出发，引导算法技术向善发展，保障数字劳动者的基本权益，促进电商经济的健康可持续发展。

Abstract: As the core driving force of platform economy such as live e-commerce, Intelligent algorithms reshape the labor process, but also lead to a new type of labor alienation. Based on Marx’s theory of alienated labor, this paper constructs an analytical framework for the analysis of e-commerce platform labor, and systematically expounds how algorithmic management leads to the alienation of workers and labor products, labor processes, class nature and social relations. Research shows that under the guidance of capital logic, algorithms are alienated from efficiency tools to control means, which makes digital workers such as creators, anchors and customer service on the e-commerce platform fall into the dilemma of digital slavery and self-exploitation. In order to cope with this challenge, this paper proposes that we should guide the development of algorithm technology, protect the basic rights and interests of digital workers, and promote the healthy and sustainable development of e-commerce economy from the perspectives of standardizing capital behavior, building industry ethics, and improving the digital literacy of workers.