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Toward a theory of consumer digital trust: Meta-analytic evidence of its role in the effectiveness of user-generated content

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  • Rachel E. Hochstein

    (University of Missouri – Kansas City)

  • Colleen M. Harmeling

    (Florida State University)

  • Taylor Perko

    (Florida State University)

Abstract

Consumers seek out online user-generated content to inform their purchase decisions because they perceive content created by other consumers as more believable than marketing communications. This research provides a theory of consumer digital trust in which consumer trust in user-generated content requires a digital environment that minimizes consumer suspicion of misrepresented or missing content. The theory is supported with empirical evidence from a hierarchical meta-analysis of 128 effects from 19 online platforms over 19 years (2004–2022). Account verification features, which alleviate suspicions of misrepresented content creator identities, increase the effect of user-generated content on firm performance, but content-enhancing features, such as photo filters, that can prompt suspicion of misrepresented brand experiences, weaken this link. Content-removal features that can spark speculation of missing information in content creators’ historical content and platform moderation media, which creates questions about missing content in brand conversations, weaken the influence of some user-generated content.

Suggested Citation

  • Rachel E. Hochstein & Colleen M. Harmeling & Taylor Perko, 2025. "Toward a theory of consumer digital trust: Meta-analytic evidence of its role in the effectiveness of user-generated content," Journal of the Academy of Marketing Science, Springer, vol. 53(4), pages 1034-1054, July.
    • Handle: RePEc:spr:joamsc:v:53:y:2025:i:4:d:10.1007_s11747-023-00982-y
    DOI: 10.1007/s11747-023-00982-y
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