Hostname: page-component-76d6cb85b7-dqfph Total loading time: 0 Render date: 2026-07-14T21:48:37.049Z Has data issue: false hasContentIssue false

Far-right agenda setting: How the far right influences the political mainstream

Published online by Cambridge University Press:  30 September 2025

Daniel Saldivia Gonzatti*
Affiliation:
Center for Civil Society Research, WZB Berlin Social Science Center, Berlin, Germany Department of Political and Social Sciences, Freie Universität Berlin, Berlin, Germany
Teresa Völker
Affiliation:
Center for Civil Society Research, WZB Berlin Social Science Center, Berlin, Germany
*
Corresponding author: Daniel Saldivia Gonzatti; Email: daniel.saldivia-gonzatti@wzb.eu
Rights & Permissions [Opens in a new window]

Abstract

How do far-right actors influence mainstream parties over time? Previous research shows that mainstream parties contribute to the electoral success of far-right parties through coalitions or policy alliances. However, a long-term perspective on the influence of far-right actors, including parties, civil society organisations, and social movements, on mainstream parties’ communication is lacking. This article investigates how far-right actors and issues have influenced mainstream parties’ communication in Germany since the 1990s. Using automated text analysis, we analyse 520,408 articles from six newspapers. First, we semi-automatically collect far-right actors and mainstream parties and implement a structural topic model to analyse their issue agendas. Second, we use time-series analysis to examine agenda-setting effects and their drivers. The results show that far-right influence on mainstream parties’ communication has increased, particularly among opposition parties and around issues of Islam and migration. Notably, the agenda-setting effect cuts across party ideologies, indicating mainstream parties’ impact on the rise of the far right in democracies.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of European Consortium for Political Research
Figure 0

Figure 1. Mainstream parties and the AfD in cultural debates, monthly and yearly means.

Figure 1

Figure 2. Mediated issue prevalence by actor group over time.Note: across issues, each actor-specific issue emphasis amounts to 1. Therefore, comparisons do not reflect absolute emphasis.

Figure 2

Table 1. Far-right issue emphasis influence on mainstream parties’ issue emphasis.

Figure 3

Figure 3. Far-right influence on mainstream parties’ mediated issue emphasis over time.Note: Predicted values of mainstream party issue emphasis change (1) at +0.05 far-right issue emphasis change in the left panel (one positive standard deviation) – full models not reported due to length; and (2) at +0.5 far-right issue emphasis change in the right panel, based on Model 3, Table 1. OLS-specified linear regression interacting actors, years, and far-right issue emphasis change fixed effects. Robust standard errors.

Figure 4

Table 2. Summary of the hypothesis validation

Figure 5

Figure 4. Far-right influence on mainstream parties’ issue emphasis across issues.Note: Predicted values of mainstream party issue emphasis change at +0.05 far-right issue emphasis change (+1SD). OLS-specified linear regression interacting actors, issues, and far-right issue emphasis change fixed effects. Robust standard errors; full models not reported due to length.

Figure 6

Figure 5. Far-right influence on mainstream parties’ issue emphasis shifts – dynamic cumulative analysis.Note: Following Ezrow, Hellwig, and Fenzl (2020), we disintegrate the change equation and implement a normal full lagged model for both the dependent and independent variables, which is then accounted for in the dynsim estimation (see Williams and Whitten 2011). The model is panel specified for issue, actor, and month.

Supplementary material: File

Saldivia Gonzatti and Völker supplementary material

Saldivia Gonzatti and Völker supplementary material
Download Saldivia Gonzatti and Völker supplementary material(File)
File 2 MB