随着数字技术的发展,外卖平台借助算法对其运营模式进行精确化计算,有效提高了平台的工作效率和经济效益,一方面展现了数字技术应用的成果,另一方面也暴露了“算法控制”下外卖平台和骑手不平等劳动秩序的问题。本文通过分析在“算法控...随着数字技术的发展,外卖平台借助算法对其运营模式进行精确化计算,有效提高了平台的工作效率和经济效益,一方面展现了数字技术应用的成果,另一方面也暴露了“算法控制”下外卖平台和骑手不平等劳动秩序的问题。本文通过分析在“算法控制”下的新型劳动关系,进而说明“算法控制”下骑手的境遇,如面临做出“逆算法”实践、自由度降低以及劳动的异化等困境,基于此,从政策建议、行业指导以及骑手自身的行动建议出发解决以上困境。With the development of digital technology, food delivery platforms use algorithms to accurately calculate their operating modes, effectively improving the platform’s work efficiency and economic benefits. On the one hand, it demonstrates the achievements of digital technology applications, and on the other hand, it also exposes the problem of unequal labor order between food delivery platforms and riders under algorithmic control. This article analyzes the new type of labor relations under algorithmic control, and further explains the situation of riders under algorithmic control, such as facing difficulties such as making “inverse algorithm” practices, reducing freedom, and labor alienation. Based on this, policy recommendations, industry guidance, and riders’ own action suggestions are proposed to solve the above difficulties.展开更多
文摘随着数字技术的发展,外卖平台借助算法对其运营模式进行精确化计算,有效提高了平台的工作效率和经济效益,一方面展现了数字技术应用的成果,另一方面也暴露了“算法控制”下外卖平台和骑手不平等劳动秩序的问题。本文通过分析在“算法控制”下的新型劳动关系,进而说明“算法控制”下骑手的境遇,如面临做出“逆算法”实践、自由度降低以及劳动的异化等困境,基于此,从政策建议、行业指导以及骑手自身的行动建议出发解决以上困境。With the development of digital technology, food delivery platforms use algorithms to accurately calculate their operating modes, effectively improving the platform’s work efficiency and economic benefits. On the one hand, it demonstrates the achievements of digital technology applications, and on the other hand, it also exposes the problem of unequal labor order between food delivery platforms and riders under algorithmic control. This article analyzes the new type of labor relations under algorithmic control, and further explains the situation of riders under algorithmic control, such as facing difficulties such as making “inverse algorithm” practices, reducing freedom, and labor alienation. Based on this, policy recommendations, industry guidance, and riders’ own action suggestions are proposed to solve the above difficulties.
