Group 1: Core Argument - The article discusses the deepening contradictions in capital relations in the digital age, highlighting the transformation from "factory discipline" to "algorithmic hegemony" and the resulting exploitation of labor through data and algorithms [1] Group 2: Algorithmic Exploitation Mechanisms - Algorithms significantly enhance the rate of surplus value extraction, not by extending absolute labor time, but through deep penetration and optimization of labor processes [2] - In platform economies like ride-hailing and food delivery, algorithms implement dynamic pricing, where drivers receive only 58% of the total fare during peak hours, with platforms taking up to 42% as commission [3] - The monitoring of labor processes through algorithms leads to extreme optimization, exemplified by Tesla's AI systems analyzing worker movements and Amazon's surveillance of warehouse workers, resulting in a high surplus value rate of 380% for delivery riders [4] Group 3: Data Monopoly and Class Reconstruction - Data has become the core means of production, with 1% of global entities controlling 85% of digital assets, leading to economic inequality and a restructured class system [5][6] - Major cloud service providers dominate the market, with Amazon and Microsoft controlling 65%, creating a "data feudalism" where smaller entities are dependent on these platforms [7] - In China, the digital divide is evident, with a digital gap index of 0.38 and only 41% internet penetration in rural areas, exacerbating regional economic disparities [8] Group 4: Philosophical Critique of Technological Alienation - The article addresses the crisis of human subjectivity in the face of algorithmic control, where workers are reduced to mere data-generating nodes, losing their agency [9][10] - Resistance to algorithmic hegemony has evolved from collective actions to individual strategies, reflecting the challenges of organizing in a fragmented labor environment [11] Group 5: China's Response to Algorithmic Hegemony - The Chinese government has introduced regulations aimed at algorithmic oversight, including measures to prevent algorithmic discrimination and ensure data traceability [12][13] - Initiatives like the "three rights separation" model in Shenzhen aim to confirm data ownership rights for users, challenging the monopolistic control of platforms [14] Group 6: Conclusion - The article concludes that the rise of algorithmic hegemony represents an intensification of capitalism's fundamental contradictions, but through effective regulation and innovation in data rights, it is possible to reshape capital relations and protect labor rights [15]