An introduction to computational social science for organizational communication

Andrew N. Pilny, Marshall Scott Poole

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

2 Scopus citations


The exponential growth of "Big Data" has given rise to a field known as computational social science (CSS). The authors view CSS as the interdisciplinary investigation of society that takes advantage of the massive amount of data generated by individuals in a way that allows for abductive research designs. Moreover, CSS complicates the relationship between data and theory by opening the door for a more data-driven approach to social science. This chapter will demonstrate the utility of a CSS approach using examples from dynamic interaction modeling, machine learning, and network analysis to investigate organizational communication (OC). The chapter concludes by suggesting that lessons learned from OC's history can help deal with addressing several current issues related to CSS, including an audit culture, data collection ethics, transparency, and Big Data hubris.

Original languageEnglish
Title of host publicationTransformative Practice and Research in Organizational Communication
Number of pages16
ISBN (Electronic)9781522528241
StatePublished - Jul 12 2017

Bibliographical note

Publisher Copyright:
© 2018 IGI Global. All rights reserved.

ASJC Scopus subject areas

  • General Economics, Econometrics and Finance
  • General Business, Management and Accounting


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