In this abstract we describe a computational approach for detecting discursive patterns in social media. Newsrooms of municipalities and public organizations such as the police follow public debate on social media to be aware of and prepare for local and global issues and rumors. The onset of these issues …

Previous research largely supports the notion that mediated contact and engagement with minority characters can improve viewers’ real-life minority attitudes. However, it is unclear to what extent different forms of media engagement such as parasocial friendship and wishful identification are linked …

Current understandings of similarity with media characters often focus on visible attributes including gender and race, yet overlook deep-level characteristics such as personality, attitudes, and experiences. In the present research, we address this limitation and develop and validate the Character Recognizability …

Despite increased attention since 2015, there is little consensus on why audiences believe or share disinformation. In our study, we propose a shift in analytical perspective by applying the concept of resilience. Through a systematic literature review (n = 95), we identify factors that have been linked …

Equine welfare is an increasingly important topic in the Netherlands and abroad. While existing literature broadly captures equine welfare concerns, research focused on Dutch horse enthusiasts is sparse. This study aims to identify what aspects horse enthusiasts in the Netherlands consider essential …

In this paper, we present a digital tool named Diversity Perspectives in Social Media (DivPSM) which conducts automated content analysis of strategic diversity communication in organizational social media posts, using supervised machine-learning. DivPSM is trained to identify whether a post makes mention …

The studies in this thesis aim to increase understanding of the effects of various characteristics of scientific news about a common chronic disease, i.e., diabetes, on the cognitive responses (e.g., emotions, attitudes, intentions) of diabetes patients. The research questions presented in this thesis …

This study provides a comprehensive analysis of the AI-related skills and roles needed to bridge the AI skills gap in Europe. Using a mixed-method research approach, this study investigated the most in-demand AI expertise areas and roles by surveying 409 organizations in Europe, analyzing 2,563 AI-related …

Introduction: Falls and fall-related injuries in community-dwelling older adults are a growing global health concern. Despite effective exercise-based fall prevention programs (FPPs), low enrollment rates persist due to negative connotations associated with falls and aging. This study aimed to investigate …

Background Digital transformation (DT) involves integrating digital technologies into organizations to improve productivity, efficiency, and quality. Investing in the workforce’s skillsets is essential for successful DT. However, it remains unclear which skillsets are essential. Objectives This study …