Abstract

This article continues the line of research that combines the paradigm of Critical Discourse Analysis with quantitative methods. We propose that Linguistic Inquiry and Word Count, a software for automated text analysis widely used in social sciences, can enrich the CDA toolkit. The methodological advantage of LIWC is that its semantic categorization was developed and validated independently, which addresses the concerns about subjectivity. In two case studies we use LIWC to analyze the construction and representation of the ‘Other’ in mass media. Study 1 focuses on the representation of Russia in The New York Times before and after its annexation of Crimea; Study 2 analyzes the change in sentiment toward Islam in NYT before and after 9/11. We find that in both cases the change in attitude is driven by an increase in negative emotion words rather than by a decrease in positive words.