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Diving into the divide: a systematic review of cognitive bias-based polarization on social media

Yunfei Xing (School of Business and Management, Jilin University, Changchun, China)
Justin Zuopeng Zhang (Department of Management, Coggin College of Business, University of North Florida, Jacksonville, Florida, USA)
Veda C. Storey (Department of Computer Information Systems, J. Mack Robinson College of Business, Georgia State University, Atlanta, Georgia, USA)
Alex Koohang (School of Computing, Middle Georgia State University, Macon, Georgia, USA)

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 24 January 2024

Issue publication date: 21 February 2024

67

Abstract

Purpose

The global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to identify policies and strategies that can help mitigate the adverse effects of polarization and promote healthier online discourse.

Design/methodology/approach

To investigate online polarization, the authors perform a systematic review and analysis of approximately 400 research articles to explore the connection between cognitive bias and polarization, examining both causal and correlational evidence. The authors extensively evaluate and integrate existing research related to the correlation between online polarization and crucial factors such as public engagement, selective exposure and political democracy. From doing so, the authors then develop a PolarSphere ecosystem that captures and illustrates the process of online polarization formation.

Findings

The authors' review uncovers a wide range of associations, including ideological cognition, bias, public participation, misinformation and miscommunication, political democracy, echo chambers and selective exposure, heterogeneity and trust. Although the impact of bias on social media polarization depends on specific environments and internal/external conditions, certain variables exhibit strong associations across multiple contexts. The authors use these observations as a basis from which to construct PolarSphere, an ecosystem of bias-based polarization on social media, to theorize the process of polarization formation.

Originality/value

Based on the PolarSphere ecosystem, the authors argue that it is crucial for governments and civil societies to maintain vigilance and invest in further research to gain a deep comprehension of how cognitive bias affects online polarization, which could lead to ways to eliminate polarization.

Keywords

Acknowledgements

This research is funded by the National Social Science Fund of China (22CTQ019).

Citation

Xing, Y., Zhang, J.Z., Storey, V.C. and Koohang, A. (2024), "Diving into the divide: a systematic review of cognitive bias-based polarization on social media", Journal of Enterprise Information Management, Vol. 37 No. 1, pp. 259-287. https://doi.org/10.1108/JEIM-09-2023-0459

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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