Content Analysis and the Algorithmic Coder
2015/04/09 by Rodrigo Zamith, Seth C. Lewis · 11 citations
Social Sciences · #Computational and Text Analysis Methods #Media Studies and Communication #Social Media and Politics
paper · doi:10.1177/0002716215570576
Abstract
To deal with ever-larger datasets, media scholars are increasingly using computational analytic methods. This article focuses on how the traditional (manual) approach to conducting a content analysis—a primary method in the study of media messages—is being reconfigured, assesses what is gained and lost in turning to computational solutions, and builds on a “hybrid” approach to content analysis. We argue that computational methods are most fruitful when variables are readily identifiable in texts and when source material is easily parsed. Manual methods, though, are most appropriate for complex variables and when source material is not well digitized. These modes can be effectively combined throughout the process of content analysis to facilitate expansive and powerful analyses that are reliable and meaningful.
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