Schwurbelarchiv: German Telegram Conspiracy Dataset
TelegramConspiracy theoriesContent moderationHate speechMisinformationPolitical communicationPropaganda A Telegram (German-language conspiracy channels) dataset of 63,908,365 messages from 4,404 unique channels, collected by Hagen, Wiencierz, and Freudenthaler via Telegram API. Each record contains message UUID, channel name, author, reply structure, conspiracy label, language, media type (photo/video/voice), audio/video duration, forwarding metadata, duplicate flag. Schwurbelarchiv is a large-scale German Telegram corpus with 3.1% of messages labeled as conspiracy content, 23.8% reply edges enabling thread analysis, and rich media metadata across 4,404 channels. Suitable for conspiracy theory detection, German NLP, social network analysis, Telegram platform research, misinformation propagation, reply network analysis, media sharing patterns.
Cite this dataset at
schwurbelarchiv.echo.directory
Analytics
The full graph has 60,796,196 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: exact — biconnected components of the undirected graph (NetworKit) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)
Record
- Catalog key
schwurbelarchiv- Authors
- Angermaier, Mathias; Hoeldrich, Elisabeth; Lasser, Jana; Neto, Joao Pinheiro
- Year
- 2025
- Source paper
- The Schwurbelarchiv: a German Language Telegram dataset for the Study of Conspiracy Theories
- DOI / arXiv
- 10.48550/arXiv.2504.06318
- License
- Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
- Records
- 63,908,365
- Nodes
- 60,796,196
- Edges
- 7,286,832
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- de, en, es, fr, it, nl, ru, tr
- Collected
- 2015-10-27 to 2022-08-04 (2010s, 2020s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://zenodo.org/records/21889367 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 6.4 GB across 1 files. Checksums in MANIFEST.json.
Citations
The Schwurbelarchiv: a German Language Telegram dataset for the Study of Conspiracy Theories
Mathias Angermaier, Elisabeth Höldrich, Jana Lasser, João Pinheiro
Journal Article · arXiv.org · 2025
Cited by
- TeraGram: A Structured Longitudinal Dataset of the Telegram Messenger
Anastasia Golovin, Sebastian B. Mohr et al. · Proceedings of the International AAAI Conference on Web and Social Media · 2026 · cited 3× - Characterizing the Dynamics of Conspiracy Related German Telegram Conversations during COVID-19
Elisabeth Höldrich, Mathias Angermaier et al. · Journal of Quantitative Description Digital Media · 2025 · cited 2× - Who's Behind It? Annotating and Extracting Conspiratorial Actors from German Telegram Posts
Helena Mihaljevic, Jolanda Beer et al. · arXiv.org · 2026 · cited 0× - Belief Is All You Need: Modeling Narrative Archetypes in Conspiratorial Discourse
Soorya Ram Shimgekar, Abhay Goyal et al. · 2025 · cited 0× - The Schwurbelarchiv: a German-language dataset derived from multimodal Telegram content for the study of conspiracy theories
Mathias Angermaier, Elisabeth Höldrich et al. · EPJ Data Science · 2025 · cited 0×
Show all 7
- Modeling Narrative Archetypes in Conspiratorial Narratives: Insights from Singapore-Based Telegram Groups
Soorya Ram Shimgekar, Abhay Goyal et al. · arXiv.org · 2025 · cited 0× - Belief Is All You Need: Signed Belief Graph Neural Networks for Topic Modeling in Conspiratorial Discourse
Soorya Ram Shimgekar, Abhay Goyal et al. · cited 0×
Citation data from Semantic Scholar, retrieved 2026-10-20.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@misc{https://doi.org/10.48550/arxiv.2504.06318,
doi = {10.48550/ARXIV.2504.06318},
url = {https://arxiv.org/abs/2504.06318},
author = {Angermaier, Mathias and Hoeldrich, Elisabeth and Lasser, Jana and Neto, Joao Pinheiro},
keywords = {Social and Information Networks (cs.SI), FOS: Computer and information sciences},
title = {The Schwurbelarchiv: a German Language Telegram dataset for the Study of Conspiracy Theories},
publisher = {arXiv},
year = {2025},
copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Angermaier, M., Hoeldrich, E., Lasser, J., & Neto, J. P. (2025). Schwurbelarchiv: German Telegram Conspiracy Dataset [Data set]. https://doi.org/10.48550/arXiv.2504.06318
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Angermaier, Mathias, et al. Schwurbelarchiv: German Telegram Conspiracy Dataset. 2025, doi.org/10.48550/arXiv.2504.06318.