Publikationen

Interactive Visualization of Telegram

AutorChoi, Jeong-Eun; Schäfer, Karla; Steinebach, Martin
Datum2026
ArtConference Paper
AbstraktWe present an interactive visualization for exploring a large-scale Telegram dataset. The demo primarily features (1) the interactive exploration of information flows between channels/groups and (2) a content analysis based on established NLP techniques. It demonstrates how diverse information extracted from complex, heterogeneous social media data can be integrated into a cohesive interface. The demo highlights the potential of technical tools to support interdisciplinary research, such as studies on disinformation, and provides users with interpretable insights for further analysis.
KonferenzInternational Conference on Web and Social Media 2026
Urlhttps://publica.fraunhofer.de/handle/publica/519187