Tootfinder

Digital literacy interventions can boost humans in discerning deepfakes
Dominique Geissler, Claire Robertson, Stefan Feuerriegel
https://arxiv.org/abs/2507.23492 https://…

Digital literacy interventions can boost humans in discerning deepfakes
Deepfakes, i.e., images generated by artificial intelligence (AI), can erode trust in institutions and compromise election outcomes, as people often struggle to discern real images from deepfakes. Improving digital literacy can help address these challenges, yet scalable and effective approaches remain largely unexplored. Here, we compare the efficacy of five digital literacy interventions to boost people's ability to discern deepfakes: (1) textual guidance on common indicators of deepfakes; (2…

Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
Christian Roth, Rahmin Bender-Salazar, Breanne Pitt
https://arxiv.org/abs/2508.11059

Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
This paper explores how Interactive Digital Narratives (IDNs) can support learners in developing the critical literacies needed to address complex societal challenges, so-called wicked problems, such as climate change, pandemics, and social inequality. While digital technologies offer broad access to narratives and data, they also contribute to misinformation and the oversimplification of interconnected issues. IDNs enable learners to navigate nonlinear, interactive stories, fostering deeper un…

Defining a classification system for augmentation technology in socio-technical terms
Isabel Pedersen, Ann Hill Duin
https://arxiv.org/abs/2509.13340 https://

Defining a classification system for augmentation technology in socio-technical terms
This short paper provides a means to classify augmentation technologies to reconceptualize them as sociotechnical, discursive and rhetorical phenomena, rather than only through technological classifications. It identifies a set of value systems that constitute augmentation technologies within discourses, namely, the intent to enhance, automate, and build efficiency. This short paper makes a contribution to digital literacy surrounding augmentation technology emergence, as well as the more speci…

Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open & Industry Data
Moritz Mock, Thomas Forrer, Barbara Russo
https://arxiv.org/abs/2509.09313 https…

Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open & Industry Data
Deep learning solutions for vulnerability detection proposed in academic research are not always accessible to developers, and their applicability in industrial settings is rarely addressed. Transferring such technologies from academia to industry presents challenges related to trustworthiness, legacy systems, limited digital literacy, and the gap between academic and industrial expertise. For deep learning in particular, performance and integration into existing workflows are additional concer…