The Power of Television Images in a Social Media Age

Dhavan V. Shah, Alex Hanna, Erik P. Bucy, Chris Wells and Vidal Quevedo

The ANNALS of the American Academy of Political and Social Science, 2015, vol. 659, issue 1, 225-245

Abstract: There is considerable controversy surrounding the study of presidential debates, particularly efforts to connect their content and impact. Research has long debated whether the citizenry reacts to what candidates say, how they say it, or simply how they appear. This study uses detailed coding of the first 2012 debate between Barack Obama and Mitt Romney to test the relative influence of the candidates’ verbal persuasiveness and nonverbal features on viewers’ “second screen†behavior—their use of computers, tablets, and mobile phones to enhance or extend the televised viewing experience. To examine these relationships, we merged two datasets: (1) a shot-by-shot content analysis coded for functional, tonal, and visual elements of both candidates’ communication behavior during the debate; and (2) corresponding real-time measures, synched and lagged, of the volume and sentiment of Twitter expression about Obama and Romney. We find the candidates’ facial expressions and physical gestures to be more consistent and robust predictors of the volume and valence of Twitter expression than candidates’ persuasive strategies, verbal utterances, and voice tone during the debate.

Keywords: 2012 presidential debate; computational communication science; machine learning; nonverbal behaviors; political performance; sentiment analysis; Twitter (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:sae:anname:v:659:y:2015:i:1:p:225-245

DOI: 10.1177/0002716215569220

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