Capturing turn-by-turn lexical similarity in text-based communication

Noah Liebman, Darren Gergle

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

4 Scopus citations

Abstract

Speakers often come to use similar words during conversation; that is, they come to exhibit lexical similarity. The extent to which this occurs is associated with many positive social outcomes. However, existing measures of lexical similarity are either highly labor intensive or too coarse in their temporal resolution. This limits the ability of researchers to study lexical similarity as it unfolds over the course of a conversation. We present a fully automated metric for tracking lexical similarity over time, and demonstrate it on individual conversations, explore general trends in aggregate conversational dynamics, and examine differences in how similarity tracks over time in groups with differing social outcomes.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
PublisherAssociation for Computing Machinery
Pages553-559
Number of pages7
ISBN (Electronic)9781450335928
DOIs
StatePublished - Feb 27 2016
Event19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States
Duration: Feb 27 2016Mar 2 2016

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Volume27

Other

Other19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
CountryUnited States
CitySan Francisco
Period2/27/163/2/16

Keywords

  • Collaboration
  • Conversation
  • Coordination
  • Lexical entrainment
  • Methodology
  • Similarity

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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  • Cite this

    Liebman, N., & Gergle, D. (2016). Capturing turn-by-turn lexical similarity in text-based communication. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016 (pp. 553-559). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW; Vol. 27). Association for Computing Machinery. https://doi.org/10.1145/2818048.2820062