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Cited by 259

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Meta‐analysis of social media influencer impact: Key antecedents and theoretical foundations

Open access
Han, Jiseon, Balabanis, George·2024·Psychology & Marketing

Abstract

This meta‐analytic review offers a comprehensive framework for studying social media influencers by integrating multiple theoretical perspectives and measures. It analyzes 250 effect sizes from 53 studies, highlighting the significance of credibility, trustworthiness, and perceived expertise of social media influencers in shaping attitudinal outcomes. Source Credibility Theory emerges as the most robust explanatory framework, while Parasocial Interaction Theory and Congruity Theory also play essential roles. For behavioral outcomes, Source Credibility Theory and Congruity Theory remain influential, with moderate effects observed for homophily and variables from the two‐step flow model. Methodological diversity, geographical context, platform context, product context, and influencer type contribute to variations in effect sizes. These findings provide insights into social media influencer influence dynamics and guide future research. Moreover, they contribute to theory development by shedding light on the mechanisms and conditions underlying social media influencer influence on consumer attitudes and behaviors.

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Crossref · 10.1002/mar.21927

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Metadata

Authors
Han, J., & Balabanis, G.
Venue
Psychology & Marketing
Publisher
Wiley
Published
2023-10-21
Volume
41
Issue
2
Pages
394-426
ISSN
  • 0742-6046 (ISSN-L)
  • 1520-6793
OpenAlex
W4387843112
Cited by
259
References
51
FWCI
112.65
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Meta‐analysis of social media influencer impact: Key antecedents and theoretical foundations. https://app.cochat.ai/papers/10.1002/mar.21927
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Han, J., & Balabanis, G. (2024). Meta‐analysis of social media influencer impact: Key antecedents and theoretical foundations. Psychology & Marketing. https://doi.org/10.1002/mar.21927

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.