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How cyborg propaganda reshapes collective action

Title: How cyborg propaganda reshapes collective action
Authors: Kunst, Jonas R.; Bierwiaczonek, Kinga; Cha, Meeyoung; Ebrahimi, Omid V.; Fawcett-Atkinson, Marc; Følstad, Asbjørn; Gollwitzer, Anton; Köbis, Nils; Marcus, Gary; Roozenbeek, Jon; Schroeder, Daniel Thilo; Van Bavel, Jay J.; van der Linden, Sander; White, Rory; Wilhelmsen, Live Leonhardsen
Publication Year: 2026
Collection: ArXiv.org (Cornell University Library)
Subject Terms: Computers and Society; Artificial Intelligence
Description: The distinction between genuine grassroots activism and automated influence operations is collapsing. While policy debates focus on bot farms, a distinct threat to democracy is emerging via partisan coordination apps and artificial intelligence-what we term 'cyborg propaganda.' This architecture combines large numbers of verified humans with adaptive algorithmic automation, enabling a closed-loop system. AI tools monitor online sentiment to optimize directives and generate personalized content for users to post online. Cyborg propaganda thereby exploits a critical legal shield: by relying on verified citizens to ratify and disseminate messages, these campaigns operate in a regulatory gray zone, evading liability frameworks designed for automated botnets. We explore the collective action paradox of this technology: does it democratize power by 'unionizing' influence (pooling the reach of dispersed citizens to overcome the algorithmic invisibility of isolated voices), or does it reduce citizens to 'cognitive proxies' of a central directive? We argue that cyborg propaganda fundamentally alters the digital public square, shifting political discourse from a democratic contest of individual ideas to a battle of algorithmic campaigns. We outline a research agenda to distinguish organic from coordinated information diffusion and propose governance frameworks to address the regulatory challenges of AI-assisted collective expression. ; 9 pages
Document Type: text
Language: unknown
Relation: http://arxiv.org/abs/2602.13088
Availability: http://arxiv.org/abs/2602.13088
Accession Number: edsbas.DA16E13D
Database: BASE