Authors
Seth C Lewis, Rodrigo Zamith, Alfred Hermida
Publication date
2013/1/1
Journal
Journal of Broadcasting & Electronic Media
Volume
57
Issue
1
Pages
34-52
Publisher
Taylor & Francis Group
Description
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.
Scholar articles
SC Lewis, R Zamith, A Hermida - Journal of broadcasting & electronic media, 2013