Raiding the inarticulate since 2010

accelerated academy acceleration agency AI Algorithmic Authoritarianism and Digital Repression archer Archive Archiving artificial intelligence automation Becoming Who We Are Between Post-Capitalism and Techno-Fascism big data blogging capitalism ChatGPT claude Cognitive Triage: Practice, Culture and Strategies Communicative Escalation and Cultural Abundance: How Do We Cope? Corporate Culture, Elites and Their Self-Understandings craft creativity critical realism data science Defensive Elites Digital Capitalism and Digital Social Science Digital Distraction, Personal Agency and The Reflexive Imperative Digital Elections, Party Politics and Diplomacy digital elites Digital Inequalities Digital Social Science Digital Sociology digital sociology Digital Universities elites Fragile Movements and Their Politics Cultures generative AI higher education Interested labour Lacan Listening LLMs margaret archer Organising personal morphogenesis Philosophy of Technology platform capitalism platforms populism Post-Democracy, Depoliticisation and Technocracy post-truth psychoanalysis public engagement public sociology publishing Reading realism reflexivity scholarship sexuality Shadow Mobilization, Astroturfing and Manipulation Social Media Social Media for Academics social media for academics social ontology social theory sociology technology The Content Ecosystem The Intensification of Work The Political Economy of Digital Capitalism The Technological History of Digital Capitalism Thinking trump twitter Uncategorized work writing zizek

Uber’s managed labor force

A really fascinating read on Harvard Business Review:

We found that through Uber’s app design and deployment, the company produces what many reasonable observers would define as a managed labor force. Drivers have the freedom to log in or log out of work at will, but once they’re online, their activities on the platform are heavily monitored. The platform redistributes management functions to semiautomated and algorithmic systems, as well as to consumers.

Algorithmic management, however, can create a deal of ambiguity around what is expected of workers — and who is really in charge. Uber’s neutral branding as an intermediary between supply (drivers) and demand (passengers) belies the important employment structures and hierarchies that emerge through its software platform.

https://hbr.org/2016/04/the-truth-about-how-ubers-app-manages-drivers