Literature DB >> 26195626

Mimicry Is Presidential: Linguistic Style Matching in Presidential Debates and Improved Polling Numbers.

Daniel M Romero1, Roderick I Swaab2, Brian Uzzi3, Adam D Galinsky4.   

Abstract

The current research used the contexts of U.S. presidential debates and negotiations to examine whether matching the linguistic style of an opponent in a two-party exchange affects the reactions of third-party observers. Building off communication accommodation theory (CAT), interaction alignment theory (IAT), and processing fluency, we propose that language style matching (LSM) will improve subsequent third-party evaluations because matching an opponent's linguistic style reflects greater perspective taking and will make one's arguments easier to process. In contrast, research on status inferences predicts that LSM will negatively impact third-party evaluations because LSM implies followership. We conduct two studies to test these competing hypotheses. Study 1 analyzed transcripts of U.S. presidential debates between 1976 and 2012 and found that candidates who matched their opponent's linguistic style increased their standing in the polls. Study 2 demonstrated a causal relationship between LSM and third-party observer evaluations using negotiation transcripts.
© 2015 by the Society for Personality and Social Psychology, Inc.

Keywords:  accommodation theory; language style matching; third-party reactions

Mesh:

Year:  2015        PMID: 26195626     DOI: 10.1177/0146167215591168

Source DB:  PubMed          Journal:  Pers Soc Psychol Bull        ISSN: 0146-1672


  2 in total

1.  Estimating the deep replicability of scientific findings using human and artificial intelligence.

Authors:  Yang Yang; Wu Youyou; Brian Uzzi
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-04       Impact factor: 11.205

2.  Product-Centered Language Style in Chinese Women Online Reviews.

Authors:  Xian Wang; Congjun Mu; Huixian Li; Alison Noble; Qingyi Wang
Journal:  Front Psychol       Date:  2022-05-30
  2 in total

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