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April 6, 2026Annals of the International Communication Association0 citations

What have we learned, and what is yet to be learned about social media populism? A scoping review and meta-research

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TTTamás TóthUBUtku BozdağLSLilla Petronella Szabó

Key Points

  • The research aims to map the landscape of populist communication on social media and address design challenges in the existing studies.
  • Conducted a scoping review of 122 peer-reviewed quantitative studies on social media populism.
  • Examined methodological and contextual factors in a subset of 62 studies using Quasi-Poisson regressions.
  • Identified patterns in hypothesis support and rejection based on research design features.
  • No studied variables significantly influenced the number of supported or partially supported hypotheses.
  • Research designs with multiple countries or noncampaign periods linked to higher hypothesis rejection.
  • Evidence suggests research design features are better predictors of hypothesis rejection than support.

Abstract

Abstract The rise of populist communication on social media has attracted increasing scholarly attention since the late 2010s. However, the global research landscape on this phenomenon has not yet been comprehensively mapped, and there is also an absence of meta-research in the field to identify the quantitative design challenges scholars face. This article fills those gaps and suggests that the field should refine research designs. The study employs a two-stage empirical strategy. First, it conducts a scoping review of 122 peer-reviewed quantitative studies to synthesize major findings on populist communication on social media platforms. Second, it examines methodological and contextual factors associated with confirming, partially supporting, or rejecting hypotheses in a subset of 62 studies with Quasi-Poisson regressions. The results suggest that none of the examined variables affect the number of supported or partially supported hypotheses per study. However, multicountry designs, the inclusion of noncampaign periods, and longer timeframes are associated with a higher likelihood of rejecting hypotheses. These patterns point to an asymmetry in the evidence base: research design features predict hypothesis rejection more consistently than they predict hypothesis support. Consequently, we outline recommendations that can address these issues in future research.

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Cite This Study

Tóth et al. (2026) studied this question.

synapsesocial.com/papers/69d34dd49c07852e0af976ddhttps://doi.org/10.1093/anncom/wlag014
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