Public Opinion and Emphatic Legislative Speech
Evidence from an Automated Video Analysis
Bibliographic Data
| ID | 6227635 |
|---|---|
| Authors | Oliver Rittmann (0000-0001-7707-9835, University of Mannheim, corresponding author), Tobias Ringwald (Independent researcher), Dominic Nyhuis (0000-0001-6790-4117, Institute for Political Science, Leibniz University Hannover) |
| Year | 2025 |
| Volume | 55 |
| Publication date | 2025-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0007-1234 • E-ISSN: 1469-2112 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0007123425100872 |
| OpenAlex | W7106157547 |
| Language | EN |
| Citations received | 1 |
| References cited | 57 |
Why do politicians sometimes deliver passionate speeches and sometimes tedious monologues? Even though the delivery is key to understanding political speech, we know little about when and why political actors choose particular delivery styles. Focusing on legislative speech, we expect legislators to deliver more emphatic speeches when their vote is aligned with the preferences of their constituents. To test this proposition, we develop and apply an automated video analysis model to speech recordings from the US House of Representatives. We match the speech emphasis with district preferences on key bills using data from the Cooperative Congressional Election Study. We find that House members who rise in opposition to a bill give more passionate speeches when public preferences are aligned with their vote. The results suggest that political actors are not only mindful of public opinion in what they say but also in how they say it
Key (lock · Legislature · Opposition (politics · Politics · Public opinion · Test (biology · Voting · Computational and Text Analysis Methods · Electoral Systems and Political Participation · Media Influence and Politics
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |