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

Stephen A. Rains

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Big Data Technologies and Applications Social Media in Health Education Computational and Text Analysis Methods

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.

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1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 2014Beyond the hype: Big data concepts, methods, and analytics 1992Putting the fear back into fear appeals: The extended parallel process model 2009Computational Social Science 2014Big Data, new epistemologies and paradigm shifts 2005How Behaviors are Influenced by Perceived Norms 2018Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology 1998Coping as a Communal Process

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