This provocative new introduction to the field of digital sociology offers a critical overview of
interdisciplinary debates about new ways of knowing society that are emerging today at the …

This article presents a study of the content, use of sources and information sharing about
climate change analysing over 60,000 tweets collected using a random week sample. We …

This paper introduces a distinctive approach to methods development in digital social
research called 'interface methods'. We begin by discussing various methodological …

Self-securing storage prevents intruders from undetectably tampering with or permanently
deleting stored data. To accomplish this, self-securing storage devices internally audit all …

Research on eudaimonic media has so far predominantly focused on audiovisual offerings:
movies or YouTube video clips. However, much meaningful and inspiring content nowadays …

Induced by “big data,”“topic modeling” has become an attractive alternative to mapping co‐
words in terms of co‐occurrences and co‐absences using network techniques. Does topic …

Meaning can be generated when information is related at a systemic level. Such a system
can be an observer, but also a discourse, for example, operationalized as a set of …

Abstract The Semantic Brand Score (SBS) is a new measure of brand importance calculated
on text data, combining methods of social network and semantic analysis. This metric is …

Distinct perceptions of the global climate is one of the factors preventing society from
achieving consensus or taking collaborative actions on this issue. The public has not even …

In recent years, many qualitative sociologists, anthropologists, and social theorists have
critiqued the use of algorithms and other automated processes involved in data science on …