Preview of the TeraGram dataset

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Anastasia Golovin, Sebastian Mohr, Arne I. Gottwald, Ulrik Hvid, Srushhti Trivedi, Joao Neto, Andreas Schneider, Viola Priesemann
DOI: 10.5281/zenodo.18262125
Cited by: 0

Abstract

This is a preview of the TeraGram dataset that contains approximately 1% of the downloaded chats of the full dataset. TeraGram is a dataset of publically available messages from the Telegram platform. The full version of the dataset contains metadata for over 5.9 billion messages from 712 thousand channels and groups, spanning a period from 2015 to 2025. For convenience, here we provide a sample of the full dataset in CSV format that contains all data related to 7,000 chats. For details regarding dataset collection and preliminary results, please refer to our paper "TeraGram: A Structured Longitudinal Dataset of the Telegram Messenger" (currently under review). A datasheet for the dataset is available here.

Fields of Study & Subjects

Hate Speech and Cyberbullying Detection Digital Communication and Language Misinformation and Its Impacts

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Document type
Dataset