Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods

Seth C. Lewis, Rodrigo Zamith, Alfred Hermida

Research output: Contribution to journalArticlepeer-review

263 Scopus citations


Massive datasets of communication are challenging traditional, human-driven approaches to content analysis. Computational methods present enticing solutions to these problems but in many cases are insufficient on their own. We argue that an approach blending computational and manual methods throughout the content analysis process may yield more fruitful results, and draw on a case study of news sourcing on Twitter to illustrate this hybrid approach in action. Careful combinations of computational and manual techniques can preserve the strengths of traditional content analysis, with its systematic rigor and contextual sensitivity, while also maximizing the large-scale capacity of Big Data and the algorithmic accuracy of computational methods.

Original languageEnglish (US)
Pages (from-to)34-52
Number of pages19
JournalJournal of Broadcasting and Electronic Media
Issue number1
StatePublished - Jan 2013

Bibliographical note

Funding Information:
This research was supported by the Office of the Vice President for Research at the University of Minnesota and the Social Sciences and Humanities Research Council of Canada.

Copyright 2017 Elsevier B.V., All rights reserved.


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