TeraGram: Large-Scale Telegram Dataset
TelegramCommunicationContent moderationEngagementMisinformationMultilingualPolitical communicationSocial graph A Telegram (multi-chat, multi-language corpus) dataset of 111,894,575 messages from 6,775 chats with 350,267 users and 99,459,189 reactions, collected by TeraGram Project Team via Telegram API. Each record contains message ID, chat ID, user ID, message type (PHOTO/VIDEO/TEXT/etc.), view count, forward count, reply and forward graph edges, user flags (bot/fake/scam/verified/premium), emoji reactions per message, and chat-level language detection. TeraGram is a large-scale Telegram dataset with 111,894,575 messages spanning 6,775 chats, including full reply and forwarding graph structure, 99,459,189 emoji reactions, and privacy-preserving encrypted user identifiers. Suitable for Telegram network analysis, information diffusion, bot and fake account detection, engagement modeling, multilingual content analysis, forwarding chain research.
Very large: 111.9M nodes. Working with all of it takes more than a laptop (tens of GB of memory or a disk-based graph database); a sample, or reading the files in a streaming way, is the usual way to start.
Cite this dataset at
teragram.echo.directory
Analytics
The full graph has 111,894,575 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Record
- Catalog key
teragram- Authors
- Golovin, Anastasia; Mohr, Sebastian B.; Gottwald, Arne I.; Hvid, Ulrik; Trivedi, Srushhti; Pinheiro Neto, Joao; Schneider, Andreas C.; Priesemann, Viola
- Year
- 2026
- Source paper
- TeraGram: A Structured Longitudinal Dataset of the Telegram Messenger
- DOI / arXiv
- 10.1609/icwsm.v20i1.42783
- License
- ODC-By 1.0 (ODC-By-1.0)
- Records
- 111,894,575
- Nodes
- 111,894,575
- Edges
- 40,311,642
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- bg, ca, da, de, el, en, es, fr, he, hi, it, ja, nl, pl, pt, ro, ru, sv, th, uk, zh
- Collected
- 2015-09 to 2025-11 (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/18262126 link checked
Citations
TeraGram: A Structured Longitudinal Dataset of the Telegram Messenger
Anastasia Golovin, Sebastian B. Mohr, Arne I. Gottwald, U. Hvid, Srushhti Trivedi
Journal Article · Proceedings of the International AAAI Conference on Web and Social Media · 2026
Cited by
- Disentangling interaction and bias effects in opinion dynamics of large language models
Vincent C. Brockers, D. A. Ehrlich et al. · Nature Communications · 2025 · cited 3× - Network Information Enhances Unreliable News Domain Detection
R. Keßler, R. D. Ventzke et al. · 2026 · 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×
Citation data from Semantic Scholar, retrieved 2026-10-22.
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}
}
@article{Golovin_2026,
title = {TeraGram: A Structured Longitudinal Dataset of the Telegram Messenger},
volume = {20},
issn = {2162-3449},
url = {http://dx.doi.org/10.1609/icwsm.v20i1.42783},
doi = {10.1609/icwsm.v20i1.42783},
number = {1},
journal = {Proceedings of the International AAAI Conference on Web and Social Media},
publisher = {Association for the Advancement of Artificial Intelligence (AAAI)},
author = {Golovin, Anastasia and Mohr, Sebastian B. and Gottwald, Arne I. and Hvid, Ulrik and Trivedi, Srushhti and Pinheiro Neto, Joao and Schneider, Andreas C. and Priesemann, Viola},
year = {2026},
month = May,
pages = {2794–2816}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Golovin, A., Mohr, S. B., Gottwald, A. I., Hvid, U., Trivedi, S., Pinheiro Neto, J., Schneider, A. C., & Priesemann, V. (2026). TeraGram: Large-Scale Telegram Dataset [Data set]. https://doi.org/10.1609/icwsm.v20i1.42783
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Golovin, Anastasia, et al. TeraGram: Large-Scale Telegram Dataset. 2026, doi.org/10.1609/icwsm.v20i1.42783.