Massive datasets of communication are challenging traditional, human-driven approaches
to content analysis. Computational methods present enticing solutions to these problems but …

This book offers a toolkit of methods and technologies to undertake qualitative research on
digital spaces. Unlike commonly used traditional methodological strategies, which are …

This report describes a review of the literature examining the effect of news use on
polarisation across Europe. In considering work concerned with both the supply side of …

To deal with ever-larger datasets, media scholars are increasingly using computational
analytic methods. This article focuses on how the traditional (manual) approach to …

Public media's contributions to democracy are well established. Less widely known are the
specific policies that make these contributions possible. This study finds that professional …

Swedish newspapers have hosted Web pages since the mid-1990s, and are often pointed to
as some of the most popular online locations in the Swedish-speaking online sphere. These …

Despite the online availability of data, analysis of this information in academic research is
arduous. This article explores the application of supervised machine learning (SML) to …

This article asks to what extent public service broadcasting's online news service resembles
that of commercial media. The context of this inquiry is claims of 'out-crowding'facing public …

Digital data sources and platforms allow journalists to produce news in new and different
ways. The shift from an analog to digital workflow introduces computation as a central …

Journalists have incorporated hyperlinks (ie linking) into their professional practice since the
early stages of digital news expansion. Media scholars and professionals have continually …