Publications

Interactive Visualization of Telegram

AuthorChoi, Jeong-Eun; Schäfer, Karla; Steinebach, Martin
Date2026
TypeConference Paper
AbstractWe 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.
ConferenceInternational Conference on Web and Social Media 2026
Urlhttps://publica.fraunhofer.de/handle/publica/519187