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Research Article

From Likes to Algorithms: A Systematic Review of Online Social Conformity Determinants and Consequences

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Received 07 Nov 2025, Accepted 09 Feb 2026, Published online: 16 Mar 2026
 

Abstract

The rise of digitally networked platforms has intensified conformity dynamics within online environments, where social and algorithmic mechanisms shape behavior. This literature review, following PRISMA guidelines, synthesizes 62 empirical studies that examine the determinants and consequences of online social conformity. Findings suggest that conformity in digital contexts is best understood through a triadic framework that encompasses psychological, social, and technological determinants. Methodological trends reveal a dominance of experimental and survey designs, with limited qualitative and mixed-method approaches, highlighting a need for methodological diversification. Thematic synthesis identified four domains of outcomes, social, behavioral, cognitive, and psychological, reflecting both adaptive (e.g., cohesion, collaboration) and maladaptive (e.g., polarization, misinformation) effects. Notably, few studies advance empirically tested intervention strategies, despite frequent recommendations for such development. This review contributes a synthesized conceptual model linking determinants and outcomes of online conformity, providing a foundation for scale development and intervention-based research aimed at promoting healthy digital engagement.

Acknowledgment

No funding agency is involved. Huma Batool was responsible for the conception and design of the study, data collection, data analysis, and interpretation of results. She also prepared the initial draft of the manuscript. Dr. Iram Batool provided supervision, critical review, and substantial revisions to enhance the intellectual and scientific quality of the paper. Both authors approved the final version of the manuscript for publication and agree to be accountable for all aspects of the work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data will be available upon request.

Additional information

Notes on contributors

Huma Batool

Huma Batool is a PhD Scholar in the Department of Applied Psychology at Bahauddin Zakariya University, Multan, Pakistan. Her doctoral research focuses on developing interventions to reduce online social conformity. Her research interests include digital behaviors, young adults’ well-being, psychometrics, and human–computer interaction, particularly the role of algorithms.

Iram Batool

Iram Batool is a Professor of Psychology with a PhD in Human Cognition from the University of Hull, UK. She is currently affiliated with the Department of Applied Psychology at Bahauddin Zakariya University, Multan, Pakistan. Her research explores human cognition, digital behavior, and technology’s psychological impacts, focusing on social media, online conformity, well-being, psychometrics, and evidence-based interventions for healthy digital engagement.

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