Populist narrative power in a globalised infosphere: a cross-language analysis

Abstract Populism constitutes one of the greatest challenges to democratic systems, and understanding its dynamics is key to combating it. In this article, we present a quantitative and qualitative analysis of the conversation on Twitter around the anti-Covid protests in China, a seismic political event which at first glance seems wholly unconnected to populist movements in the West. However, our study shows that Western right-wing populists used the opportunity to draw parallels between Chinese and Western anti-lockdown protesters, furthering their agenda of painting democratic governments as authoritarian and tyrannical. Our analysis of over four million tweets in English, German, and Chinese shows that populists were the dominant voices in the English and German debates. Traditional media outlets largely ceded their editorial and interpretative power online, and were merely used as a source of footage. As we demonstrate, this is structurally visible in the underlying conversation network. Compared to the German sphere, English-speaking populists displayed a high degree of sophistication in constructing their narratives. Our research uncovers previously overlooked populist communication strategies, especially in relation to popular movements in non-democratic countries, and illustrates how, beyond outright misinformation, ‘reframing’ of factual news is an effective way of strengthening populist narratives.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-10-14
DOI
https://doi.org/10.1057/s41599-025-05976-5
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Populist narrative power in a globalised infosphere: a cross-language analysis

Thomas Gaskin, Yi Zhu
Humanities and Social Sciences Communications
Misinformation and Its Impacts
article

Populist narrative power in a globalised infosphere: a cross-language analysis

Thomas Gaskin, Yi Zhu
article en

Abstract

Abstract Populism constitutes one of the greatest challenges to democratic systems, and understanding its dynamics is key to combating it. In this article, we present a quantitative and qualitative analysis of the conversation on Twitter around the anti-Covid protests in China, a seismic political event which at first glance seems wholly unconnected to populist movements in the West. However, our study shows that Western right-wing populists used the opportunity to draw parallels between Chinese and Western anti-lockdown protesters, furthering their agenda of painting democratic governments as authoritarian and tyrannical. Our analysis of over four million tweets in English, German, and Chinese shows that populists were the dominant voices in the English and German debates. Traditional media outlets largely ceded their editorial and interpretative power online, and were merely used as a source of footage. As we demonstrate, this is structurally visible in the underlying conversation network. Compared to the German sphere, English-speaking populists displayed a high degree of sophistication in constructing their narratives. Our research uncovers previously overlooked populist communication strategies, especially in relation to popular movements in non-democratic countries, and illustrates how, beyond outright misinformation, ‘reframing’ of factual news is an effective way of strengthening populist narratives.

Humanities and Social Sciences CommunicationsVol. 12(1)
University of Cambridge (GB), Imperial College London (GB)
Openalex Percentile: Top 62%
Misinformation and Its Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.