Building Trust Through User-Generated Content: Parasocial Mechanisms, Quality Signals, and the Dynamics of Consumer Risk Perception

Citation: Nurmukhambet Yernur, "Building Trust Through User-Generated Content: Parasocial Mechanisms, Quality Signals, and the Dynamics of Consumer Risk Perception", Universal Library of Innovative Research and Studies, Volume 02, Issue 01.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article examines the complex problem of constructing consumer trust amid the accelerated growth of social commerce, where user-generated content (UGC) functions as a central mechanism for reducing information asymmetry. By synthesizing signaling theory, the parasocial interaction model, and the ADO conceptual framework (Antecedents–Decisions–Outcomes), the analysis clarifies the psychological and economic channels through which authentic messages and demonstrations of consumption experience reshape subjective uncertainty assessments and transform risk perception. The empirical component draws on recent statistical indicators and includes industry forecasts through 2030, linking micro-level trust effects to the macro-dynamics of platform-based commerce. Particular attention is given to the Piera case, illustrating the effectiveness of approaches grounded in granting creators substantive creative autonomy and embedding content practices natively within the platform’s algorithmic logic. The findings point to a shift in the nature of trust in digital environments: it is derived less from institutional guarantees and more from emotional engagement and mechanisms of social validation.

Keywords: Social Commerce, User-Generated Content (UGC), Parasocial Interaction, Signaling Theory, Risk Perception, Consumer Behavior, E-Commerce.

https://doi.org/10.70315/uloap.ulirs.2025.0201012