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README.md
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license: mit
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---
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license: mit
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language:
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- ru
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- en
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size_categories:
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- 1M<n<10M
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tags:
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- telegram
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- news
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- russia
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- ukraine
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- media
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- nlp
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- conflict
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- geopolitics
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pretty_name: Russian Telegram Channel Messages (2022–2026)
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---
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# Russian Telegram Channel Messages (2022–2026)
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A corpus of messages scraped from 25 Russian-language Telegram channels covering news, military commentary, and political discourse. The dataset spans from early 2022 through mid-2026.
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## Dataset Description
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- **Size:** 1.16 GB
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- **Format:** JSONL (one JSON object per line)
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- **Languages:** Primarily Russian, some English
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## Channels
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| Channel | Category |
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|---------|----------|
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| rian_ru | State news (RIA Novosti) |
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| tass_agency | State news (TASS) |
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| sputniknews | State news (Sputnik RU) |
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| SputnikInt | State news (Sputnik International) |
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| readovkanews | News aggregator |
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| bbbreaking | Breaking news |
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| ostorozhno_novosti | News |
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| uranews | News |
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| RKadyrov_95 | Political (Ramzan Kadyrov) |
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| medvedev_telegram | Political (Dmitry Medvedev) |
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| Putin_tg_Russia | Political (Putin-related) |
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| SolovievLive | Political commentary (Vladimir Soloviev) |
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| rybar | Military analysis |
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| RVvoenkor | War correspondence |
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| wargonzo | War correspondence |
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| colonelcassad | Military blog |
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| epoddubny | War correspondence |
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| strelkovii | Military commentary |
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| bloodysx | Conflict coverage |
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| wartranslated | Translated war content |
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| InfoDefenseRus | Information/defense |
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| node_of_time_RUS | Geopolitical analysis |
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| mir_sevodnia | World news |
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| surf_noise1 | Commentary |
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| moscowmap | Moscow-focused |
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## Schema
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Each line is a JSON object with the following fields:
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```json
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{
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"channel": "rian_ru",
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"id": 292458,
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"date": 1746534499000,
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"text": "Message text here..."
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}
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```
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| Field | Type | Description |
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|-------|------|-------------|
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| `channel` | string | Telegram channel username |
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| `id` | integer | Message ID within the channel |
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| `date` | integer | Unix timestamp in milliseconds |
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| `text` | string | Message text content |
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## Collection Method
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Messages were collected using the [Telethon](https://github.com/LonamiWebs/Telethon) library via the Telegram API. Only text messages are included; media-only posts were excluded.
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## Use Cases
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- NLP research on Russian-language text
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- Media and propaganda analysis
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- Conflict and geopolitical discourse studies
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- Sentiment analysis
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- Topic modeling across state and independent media
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## Limitations
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- Text only — no images, videos, or other media
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- Some messages may have `null` date values
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- Channel availability may change over time (channels can be banned or deleted)
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- This dataset reflects the editorial perspective of the channels included, many of which are aligned with the Russian government
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## License
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MIT
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