On the Political Economy of Link-based Web Search

  • Deepak P Queen's University Belfast
  • James Steinhoff University College Dublin
  • Stanley Simoes Queen's University Belfast
Keywords: web search, link-based web search, Political Economy, social relations

Abstract

Web search engines arguably form the most popular data-driven systems in contemporary society. They wield a considerable power by functioning as gatekeepers of the Web. Since the late 1990s, search engines have been dominated by the paradigm of link-based web search. In this paper, we critically analyse the Political Economy of the paradigm of link-based web search, drawing upon insights and methodologies from Critical Political Economy. We illustrate how link-based web search has led to phenomena that favour capital through long-term structural changes on the Web, and how it has led to accentuating unpaid digital labour and ecologically unsustainable practices, among several others. We show how con-temporary observations on the degrading quality of link-based web search can be traced back to the internal contradictions with the paradigm, and how such socio-technical phenom-ena may lead to an eventual disutility of the link-based model. Our contribution is on enhanc-ing the understanding of the Political Economy of link-based web search, and laying bare the phenomena at work, towards catalysing the search for alternative models of content organi-sation and search on the Web.

Author Biographies

Deepak P, Queen's University Belfast

Deepak P is an Associate Professor in the School of Electronics, Electrical Engineering and Computer Science at Queen’s University Belfast. He has a background in data analytics and artificial intelligence and has published over 100 research articles across top avenues in those disciplines. His current research focuses on analysing artificial intelligence and data science through the prism of Marxist political economy.

James Steinhoff, University College Dublin

James Steinhoff is an Assistant Professor in the School of Information and Communication Studies at University College Dublin. His research focuses on automation and the political economy of data and artificial intelligence. He is author of Automation and Autonomy: Labour, Capital and Machines in the AI Industry (Palgrave Macmillan 2021) and co-author of Inhuman Power: Artificial Intelligence and the Future of Capitalism (Pluto 2019).

Stanley Simoes, Queen's University Belfast

Stanley Simoes is a Research Assistant and PhD student at the School of Electronics, Elec-trical Engineering, and Computer Science at Queen's University Belfast. He is also associat-ed with the Centre for Public Policy and Administration at Queen's. His research interests lie in AI ethics, currently focussed on fairness in unsupervised learning algorithms.

Published
2024-11-05
Section
Articles