Computer-assisted digital text analysis for journalism and communications research: introducing corpus linguistic techniques that do not require programming

Abstract

Digital methods are becoming more and more important for text analysis in communications research. However, many computational methods require either relevant technical expertise or multi-disciplinary collaboration, which has impeded their uptake. This article introduces an alternative: computer-assisted linguistic analysis (corpus linguistics), an approach that is increasingly being used outside linguistics and requires less expertise. The article uses a dataset of almost 700 items of health news to demonstrate how such techniques can aid the analysis of (dis)preferred language, sources, stigma and responsibility, framing, and project-specific text analysis. We conclude with an evaluation of the key advantages and limitations of corpus linguistic analysis.