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Research has long sought to identify the factors that matter most in citizens' responses to debate content, including what candidates say, how they say it, and the manner in which they appear. This study uses detailed codings of the first and third 2012 presidential debates to evaluate the impact of candidates’ verbal and nonverbal behaviors on viewers’ “second screen” responses. To examine the relationship between candidates’ on-screen behaviors and the social media response, we conduct GLS regression relating two data sources: (1) a shot-by-shot content analysis coded for rhetorical/functional, tonal, and visual elements of both candidates’ behavior during the debates, and (2) corresponding real-time measures of the volume and valence of online expression about the candidates on Twitter. We find that the nonverbal communication behaviors of candidates – their facial expressions, physical gestures, and blink rate – are consistent, robust, and significant predictors of the volume and valence of public expression during debates.
Dhavan Shah, Univ. of Wisconsin - Madison
Alex Hanna, U of Wisconsin-Madison
Erik P. Bucy, Texas Tech University
David Lassen, U of Wisconsin-Madison
Jack Thomme, U of Wisconsin-Madison
Kristen Bialik, University of Wisconsin-Madison
JungHwan Yang, University of Wisconsin - Madison
Jon Pevehouse, U of Wisconsin-Madison