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 …

When analyzing digital journalism content, journalism scholars are confronted with a
number of substantial differences compared to traditional journalistic content. The sheer …

The huge collections of news content which have become available through digital
technologies both enable and warrant scientific inquiry, challenging journalism scholars to …

We hypothesize that generic frames influence what news people share on Facebook and
Twitter through three different routes: emotions, motivations, and psychological engagement …

People increasingly visit online news sites not directly, but by following links on social
network sites. Drawing on news value theory and integrating theories about online identities …

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 …

Intermedia agenda setting predicts a high degree of convergence between news media
agendas. However, the rise of social media forces a re-examination of this expectation …

With the availability of large volumes of electronic communications data and the increasing
sophistication of computational techniques, the development of automated approaches for …

The empirical identification of frames drawing on automated text analysis has been
discussed intensely with regard to the validity of measurements. Adding to an evolving …

Political communication has become one of the central arenas of innovation in the
application of automated analysis approaches to ever-growing quantities of digitized texts …