Towards a Model of Polarization Reduction with Recommender Systems

Elnaz Meydani () and Matthias Trier
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Elnaz Meydani: Paderborn University, Department of Management Information Systems
Matthias Trier: Paderborn University, Department of Management Information Systems

A chapter in People, Society, and Ethical Challenges of Information Systems, 2026, pp 229-238 from Springer

Abstract: Abstract Polarization occurs within society's networks when highly connected groups form with weak intergroup links, leading to echo chambers and filter bubbles. These phenomena hinder exposure to diverse viewpoints, posing significant challenges to democracy and societal welfare. Despite extensive research on measuring and mitigating social network polarization, the effectiveness of existing metrics remains largely uncharted. This study reevaluates these metrics and recommender system-based reduction strategies, pinpointing inherent limitations. It highlights key factors influencing polarization and adopts a design science research approach to craft a recommender system-based model for reducing polarization in online networks, recognizing its complex nature.

Keywords: Polarization; Echo Chamber; Filter Bubble; Recommender System; Design Science (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-08486-6_16

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DOI: 10.1007/978-3-032-08486-6_16

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