TeraGram: Large-Scale Telegram Dataset Analyzed
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.
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