Computational Methods for Studying Group Communication

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter conceptualizes computational methods across three related, yet distinct approaches: (1) Social Simulation, (2) Data Science, and (3) Big Data. Group communication research is then situated and reviewed along these three lines of research. Although some areas have considerable visibility (e.g., network analysis, text mining), some areas are less visible in group communication research (e.g., Social Simulation, Big Data designs). The chapter concludes with suggestions for issues regarding reliability, validity, and ethics.

Original languageEnglish
Title of host publicationThe Emerald Handbook of Group and Team Communication Research
Pages109-133
Number of pages25
ISBN (Electronic)9781800435001
DOIs
StatePublished - Jan 1 2021

Bibliographical note

Publisher Copyright:
© 2022 by Emerald Publishing Limited.

Keywords

  • Big data
  • Computational social science
  • Data science
  • Machine learning
  • Scientific computing
  • Simulations
  • Trace data

ASJC Scopus subject areas

  • Economics, Econometrics and Finance (all)
  • Business, Management and Accounting (all)

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