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- W2989601828 abstract "Speech and dialogue are the heart of politics: Nearly every political institution in the world involves verbal communication. Yet vast literatures on political communication focus almost exclusively on what words were spoken, entirely ignoring how they were delivered---auditory cues that convey emotion, signal positions, and establish reputation. We develop a model that opens this untapped information to principled statistical inquiry: the model of audio and speech structure (MASS). Our approach models political speech as a stochastic process shaped by fixed and time-varying covariates, including the history of the conversation itself. In an application to Supreme Court oral arguments, we demonstrate how vocal delivery signals crucial information---skepticism of legal arguments---that is indecipherable to text models. Results show that justices do not use questioning to strategically manipulate their peers, but rather engage in genuine fact-finding efforts. Our easy-to-use R package, speech, implements the model and many more tools for audio analysis." @default.
- W2989601828 created "2019-12-05" @default.
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- W2989601828 date "2019-01-01" @default.
- W2989601828 modified "2023-09-23" @default.
- W2989601828 title "A Dynamic Model of Speech for the Social Sciences" @default.
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- W2989601828 doi "https://doi.org/10.2139/ssrn.3490753" @default.
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