pith:CU2Z24FF
TeraGram: A Structured Longitudinal Dataset of the Telegram Messenger
A dataset of 5.9 billion Telegram messages collected from 2015 to 2025 supplies raw data for examining social networks free of algorithmic curation.
arxiv:2605.15956 v1 · 2026-05-15 · physics.soc-ph
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\pithnumber{CU2Z24FFHALEDLKVTJZU3HOLAK}
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Record completeness
Claims
The dataset offers a foundation for studying engagement patterns, network evolution, and community formation in the absence of algorithmic curation.
That the collected public messages, when restricted by language, provide a representative and unbiased view of user behavior on an algorithm-free platform, as stated in the abstract's description of advantages.
A large-scale longitudinal dataset of public Telegram content is introduced to enable studies of engagement patterns and network evolution without algorithmic curation.
References
Formal links
Receipt and verification
| First computed | 2026-05-20T00:01:46.558755Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
15359d70a5381641ad559a734d9dcb02aa5c31e539f2c0aa75db922b87cbb563
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CU2Z24FFHALEDLKVTJZU3HOLAK \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 15359d70a5381641ad559a734d9dcb02aa5c31e539f2c0aa75db922b87cbb563
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.soc-ph",
"submitted_at": "2026-05-15T13:50:07Z",
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"kind": "arxiv",
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