TubeCensus: A Transparent, Replicable, and Large-Scale Census of YouTube Channels and their Subscriber Counts Over Time
2026-05-11T08:52:17Z•efd4fcd7cca1578d58145d72da5c5fe4cff6262af8239c3af6956d2da18b44e4
AI adoptionInternet ArchiveYouTubecreator-economycurriculumdataseteducation-technologyhigher-educationinstitutional governancelongitudinalpip packagepolicyreproducibilityresearch datasetsubscriber-countsweb-archivingworkload
What happened
Contains two arXiv papers: (1) TubeCensus — a transparent, replicable, large-scale longitudinal dataset of YouTube channels and subscriber counts built from nearly two decades of Internet Archive page captures; validates coverage (≈30–36% of YouTube content), offers good coverage of prominent creators, hides identifier/capture complexities, and is distributed via an easy-to-use pip package to support reproducible research. (2) “The University AI Didn't Replace” — a framework describing four levels of AI adoption in universities, illustrated with case studies of AI-enabled curriculum efforts; a
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- efd4fcd7cca1578d58145d72da5c5fe4cff6262af8239c3af6956d2da18b44e4
- Enrichment time
- 2026-05-11T08:52:17Z
- AI-assisted enrichment
- Yes
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