Big Data, Computational Social Science, and Health Communication: A Review and Agenda for Advancing Theory

Research output: Contribution to journalArticle

Abstract

Contemporary research on health communication has been marked by the presence of big data and computational social science (CSS) techniques. The relative novelty of these approaches makes it worthwhile to consider their status and potential for advancing health communication scholarship. This essay offers an introduction focusing on how big data and CSS techniques are being employed to study health communication and their utility for theory development. Key trends in this body of research are summarized, including the use of big data and CSS for examining public perceptions of health conditions or events, investigating network-related dimensions of health phenomena, and illness monitoring. The implications of big data and CSS for health communication theory are also evaluated. Opportunities presented by big data and CSS to help extend existing theories and build new communication theories are discussed.

Original languageEnglish (US)
JournalHealth Communication
DOIs
StateAccepted/In press - Jan 1 2018

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Health Communication
Social sciences
Social Sciences
social science
Health
communication
Communication
health
communication theory
Information theory
Research
development theory
Public Health
Economics
Big data
illness
monitoring
event
Monitoring
trend

ASJC Scopus subject areas

  • Health(social science)
  • Communication

Cite this

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