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Beyond Words: Vocal Tone Reveals Hidden Political Signals
Insights from the Field
speech dynamics
vocal tone
oral arguments
R programming language
Methodology
APSR
Dataverse
A Dynamic Model of Speech for the Social Sciences was authored by Dean Knox and Christopher Lucas. It was published by Cambridge in APSR in 2021.

This article introduces the MASS model—analyzing audio and speech structure—to systematically study auditory cues in political communication.

Political Speech as a Stochastic Process: We model political dialogue not just through text, but by incorporating vocal tone as influenced by fixed and evolving variables.

Method: Supreme Court Oral Arguments Analysis: Applying our approach to Court proceedings demonstrates that questioning reflects genuine engagement with arguments rather than strategic manipulation.

Key Finding on Vocal Tone: Justice skepticism conveyed through tone is largely missed by traditional word-based models.

Practical Tool: The R package "communication" offers accessible software for audio analysis, extending beyond the proposed model's applications.

Our work bridges communication studies and political science by quantifying previously unexamined dimensions of interaction.

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American Political Science Review
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