Background The growing importance of sustainability has led to the current literature being
saturated with studies on the necessity of, and suggested topics for, education for …

How might interpretivist qualitative researchers tackle large data sets consisting of millions
or even billions of words? Corpus‐assisted discourse studies (CADS) is the approach we …

Digital platforms and media are fertile breeding grounds for disinformation and
conspirational views. They provide a variety of communication venues for a mixed set of …

Purpose There is a growing need for methodological plurality in advancing operations
management (OM), especially with the emergence of machine learning (ML) techniques for …

This discussion paper aims to take stock of the main uses and critiques of topic modelling in
studies that combine corpus linguistics and discourse analysis. Topic modelling is a cover …

Robots are projected to affect healthcare services in significant, but unpredictable, ways.
Many believe robots will add value to future healthcare, but their arrival has triggered …

Collaborative Governance Organizations (CGOs) are commonly established to manage
Socio-Ecological Systems (SESs). Collaborative processes are designed to gather …

Abstract In Computational Literary Studies (CLS), several procedures for thematic analysis
have been adapted from NLP and Computer Science. Among these procedures, topic …

Abstract Hans Christian Andersen's fairy tales have garnered the greatest popular and
scholarly attention despite the interdependence of works across the broad range of his …

Gender-specific knowledge–just like knowledge in general–is generated through discourses
that are disseminated through (mass) media. Among the first mass media is the Spectator …