We identify three gaps that limit the utility and obstruct the progress of computational text
analysis methods (CTAM) for social science research. First, we contend that CTAM …

Text has always been an important data source in political science. What has changed in
recent years is the feasibility of investigating large amounts of text quantitatively. The internet …

Computational text analysis has become an exciting research field with many applications in
communication research. It can be a difficult method to apply, however, because it requires …

Moving beyond the dominant bag-of-words approach to sentiment analysis we introduce an
alternative procedure based on distributed word embeddings. The strength of word …

The recent increase in digitally available data, tools, and processing power is fostering the
use of computational methods to the study of communication. This special issue discusses …

Research on negative campaigning has grown rapidly in the past decades. This article
reviews the literature dealing with this campaign strategy. It discusses its definition and …

In Social Networks of Meaning and Communication, Jan A. Fuhse offers a coherent theory of
social structures as networks of relations interwoven with meaning. Drawing upon and …

Provides clear guidance on leveraging computational techniques to answer social science
questions In disciplines such as political science, sociology, psychology, and media studies …

We examine gender bias in media by tallying the number of men and women quoted in
news text, using the Gender Gap Tracker, a software system we developed specifically for …

Clause subordination is an important linguistic phenomenon that is relevant to research in
psycholinguistics, cognitive and behavioral sciences, language acquisition, and …