Follow my Language! Effect of Power Relations on Syntactic Alignment

Reihane Boghrati, Morteza Dehghani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Communication accommodation is a phenomenon in social interactions in which people adjust their language to that of their interlocutor. A component of communication accommodation is research on power and dominance relations which suggests language use is dependent on power position. There are different linguistic markers which imply power standing of people. For example, when high power individuals interact with people in low power positions, the language of the interaction tends to follow the language of the high power individuals. While previous studies have mostly focused on the word-level features, we show that not only people in low power mirror word usage of people in high power, but they also adjust their syntactic structures to those in high power. Notably, we apply a computational tool on two corpora and show that individuals in low power align their syntactic structures to those in high power while people in high power do not.

Original languageEnglish (US)
Title of host publicationProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018
PublisherThe Cognitive Science Society
Pages1383-1388
Number of pages6
ISBN (Electronic)9780991196784
StatePublished - 2018
Externally publishedYes
Event40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018 - Madison, United States
Duration: Jul 25 2018Jul 28 2018

Publication series

NameProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018

Conference

Conference40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018
Country/TerritoryUnited States
CityMadison
Period7/25/187/28/18

Keywords

  • Communication Accommodation
  • ConversAtion level Syntax SImilarity Metric
  • Coordination
  • Language of Power
  • Social Status
  • Syntactic Alignment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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