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The politics of seeking and avoiding discourse in parliament

Published online by Cambridge University Press:  02 January 2026

Elias Koch*
Affiliation:
Department of Social Sciences, Humboldt‐Universität zu Berlin, Germany DYNAMICS Research Training Group, Data Science Lab, Hertie School, Germany
Andreas Küpfer
Affiliation:
Institute of Political Science, Technical University of Darmstadt, Germany MZES, University of Mannheim, Germany
*
Address for correspondence: Elias Koch, Hertie School, 10117 Berlin, Germany.Email: e.koch@hertie-school.org
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Abstract

When do politicians debate each other in parliament, and when do they prefer to avoid discourse? While existing research has shown MPs to unilaterally leverage the dialogical nature of legislative debates to their advantage, the circumstances facilitating actual discursive interaction have so far received less attention. We introduce a new framework to study the emergence of discourse in political debates. Applying this framework, we expect ideological differences and government–opposition dynamics to shape politicians' choices about seeking or avoiding discourse. To test these hypotheses, we draw on an original dataset of all 14,595 attempted and successful interventions (Zwischenfragen) – extraordinary, voluntary discursive exchanges between speakers and MPs in the audience – in the German Bundestag (1990–2020), extracted using an annotation pipeline developed specifically for this study. We find that MPs separated by diverging preferences seek discourse with one another more often than their ideologically aligned counterparts. At the same time, these exact attempts do less frequently result in discursive interactions. When considering government–opposition dynamics in this process, we observe very similar patterns: Attempts to initiate discourse are particularly common among opposition MPs facing government speakers, and we find tentative evidence suggesting that government actors are most likely to avoid these invitations to discursive interaction. Our findings have important implications for our understanding of elite behaviour in public environments.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © 2025 The Author(s). European Journal of Political Research published by John Wiley & Sons Ltd on behalf of European Consortium for Political Research.
Figure 0

Figure 1. Interest in seeking dialogue among inviting and invited MPs associated with varying levels of ideological differences.

Figure 1

Figure 2. Illustration of the life cycle of an intervention (attempt) and its actors using the empirical case of interventions in the German Bundestag.

Figure 2

Figure 3. Intervening (left column) and speaking MP (right column) by party, legislative term and speaker decision. The centre column indicates whether an intervention was allowed or rejected.

Figure 3

Figure 4. Regression coefficients with 90 per cent (wide) and 95 per cent (narrow) confidence intervals for both framework stages. Stage 1 uses a Poisson regression; estimates for stage 2 are grounded on a generalised linear model. Fixed effects on legislative period, (potential) questioner ID and speaker ID.

Figure 4

Figure 5. Predicted probabilities based on stage 1 and 2 models indicating who invites whom for a dialogical interaction (stage 1; Poisson) and when these invitations are being accepted (stage 2; generalised linear model) dependent on an increasing ideological difference.

Figure 5

Figure 6. Further explanations of main regression coefficients with 90 per cent (wide) and 95 per cent (narrow) confidence intervals for both framework stages. Stage 1 uses a Poisson regression; estimates for stage 2 are grounded on a generalised linear model. Please find full model specifications in the Online Appendix (Tables A6 and A7).

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