Last Date for Paper Submission: 30th March , 2026

Surveillance Capitalism and the Commodification of Public Attention: How Platform Business Models Reshape Democratic Information Ecosystems

Author: Ashish K

Abstract

This paper examines how surveillance capitalism-the economic logic of extracting behavioral data from human experience for prediction and profit-has fundamentally restructured democratic information ecosystems through the commodification of public attention. Drawing primarily on Zuboff’s (2019) theoretical framework, complemented by Srnicek’s (2017) platform capitalism analysis and the attention economy literature, the study traces the mechanisms through which platform business models have transformed news production, distribution, and consumption. The paper analyzes three interconnected processes: (a) the datafication of audiences, whereby citizens are reconstituted as behavioral data sources whose attention is sold to advertisers; (b) the optimization of engagement, through which algorithmic systems prioritize content that maximizes data extraction rather than informational quality; and (c) the structural dependency of journalism, wherein news organizations become dependent on platform distribution and advertising revenue, compromising editorial autonomy. Synthesizing empirical evidence from the Reuters Institute Digital News Report series (2020–2025), Pew Research Center data, and recent academic studies, the paper demonstrates that surveillance capitalism’s information architecture produces systematic incentives misaligned with democratic communication requirements. The analysis reveals that the commodification of attention creates a “race to the bottom of the brainstem” (Harris, 2016) in which platforms compete to capture and hold user attention through increasingly sophisticated behavioral manipulation techniques, with cascading effects on news quality, public trust, and citizens’ capacity for informed democratic participation. The paper concludes by evaluating structural reform proposals ranging from data dignity frameworks and attention regulation to public interest algorithmic alternatives, arguing that addressing the democratic deficits of surveillance capitalism requires not merely regulatory adjustment but fundamental restructuring of the economic incentives governing information distribution.

Keywords: surveillance capitalism, attention economy, platform business models, datafication, news economics, democratic information systems, behavioral prediction, algorithmic engagement.

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