When develo** topic models, a critical question that should be asked is: How well will this
model work in an applied setting? Because standard performance evaluation of topic …

We propose a five-step computational framing analysis framework that researchers can use
to analyze multilingual news data. The framework combines unsupervised and supervised …

Introduction: Gamification can support the practical application of Inclusive Teaching.
However, gamification literature reviews to implement Inclusive Teaching are scarce or not …

Open-ended survey questions crucially contribute to researchers' understandings of
respondents' experiences. However, analyzing open-ended responses using human coders …

In this note we explain how to find the yearly numbers of items in Clarivate's Web of Science
(WoS) and its sub-databases. As a result we find that the WoS Core Collection grows …

We contribute to the debate on societal impact of SSH by develo** a methodology that
allows a fine-grained observation of social groups that make use, directly or indirectly, of the …

Open Science is an umbrella term that encompasses many recommendations for possible
changes in research practices, management, and publishing with the objective to increase …

Probabilistic topic modeling algorithms like Latent Dirichlet Allocation (LDA) have become
powerful tools for the analysis of large collections of documents (such as papers, projects, or …

With the rise of the impact assessment revolution, governments and public opinion have
started to ask researchers to give evidence of their impact outside the traditional audiences …

Despite the increasing popularity of the Quadruple Helix model in innovation studies, the
model has suffered from a lack of robust measurements. This article contributes by …