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Success-Driven User Activity Contributes to Online Polarization

Horn, Sophia 1; Banisch, Sven 1; Batzdorfer, Veronika 1; Reitenbach, Andreas 1; Sartori, Fabio 1; Schwabe, Daniel; Mäs, Michael 1
1 Institut für Technikzukünfte (ITZ), Karlsruher Institut für Technologie (KIT)

Abstract:

Online social networks are often seen as a breeding ground of political polarization. This study introduces an additional explanation why, attributing polarization to success-driven user activity. Using an agent-based model, we demonstrate that polarization intensifies when users become more active after experiencing rewarding interactions on the platform. We compare a basic version of Axelrod's cultural dissemination model, which lacks success-driven activity, with an extended version that does include it. Our analyses replicate key findings from the literature and show that success-driven activity consistently enhances polarization, even in scenarios like complete networks or minimal network clustering, where Axelrod's model typically predicts uniformity to be unavoidable. Success-driven activity triggers a self-reinforcing "rich-get-richer" dynamic, where success leads to more activity and vice versa, resulting in a highly skewed success distribution. A few highly successful users dominate discussions, causing local convergence and fragmenting the population into distinct groups. This polarization arises in a model without biased media, polarized elites, algorithmic echo chambers, or users intentionally distancing themselves from others. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000192536
Veröffentlicht am 15.05.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technikzukünfte (ITZ)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1460-7425
KITopen-ID: 1000192536
Erschienen in Journal of Artificial Societies and Social Simulation
Verlag SimSoc Consortium
Band 29
Heft 2
Seiten 1
Externe Relationen Siehe auch
Schlagwörter Opinion Polarization, Success-Driven User Activity, Online Social Networks, Agent-Based Modeling, Reinforcement
Nachgewiesen in Scopus
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