Research you can inspect.
Published studies from Webbigdata Streaming Data Lab. Read the findings alongside their methods, limitations, and supporting data.
Reports available in English
These are published observational studies. Their sample sizes and findings apply to the stated study populations and periods, not to all of YouTube.
Do VTubers stop growing when they take a break?
A study of 20,002 breaks across 9,006 VTuber channels. The revised analysis excludes view-growth comparisons spanning YouTube’s August 24 counting change and examines whether activity returned to its pre-break pace.
The full report explains the smaller comparison groups, members-only activity audit, and limits of causal interpretation.
41 Days of World Cup Emotion
A visualization of YouTube sentiment toward all 48 national teams at the 2026 FIFA World Cup, using a search panel covering 47 countries. The dataset includes 41 daily snapshots and 767,361 analyzed comments.
The study describes search-panel coverage and AI sentiment classification. It is not a representative survey of national public opinion.
More studies · Japanese reports
The summaries below are in English; the full reports are in Japanese.
- YouTube Shorts clipping channels and reach changes
· A comparison of clipping-channel reach before and after a recommendation change. - YouTube’s August 24 view-counting change
· Observed changes in public view counts, accounting for ordinary channel variation. - The journey from zero to 1,000 subscribers
· Subscriber-growth rates across channel-size groups. - Vertical and horizontal livestream benchmarks
· Concurrent-viewer comparisons by format and subscriber range. - How stable are Shorts views?
· View variability for Shorts and regular videos within the same channels. - YouTube performance benchmarks
· Views and concurrent viewers relative to channel subscriber counts. - Patterns in Japanese YouTube titles
· Title themes and views relative to subscribers in the observed sample.
Read, cite & ask questions
Use each report’s current methods, exclusions, and correction notes when describing its findings. Cite TubeSaku, the report title and URL, and the study period. Follow report-specific reuse instructions; a download link does not imply unrestricted redistribution.
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For custom creator-discovery work, see our custom analysis information. Published research above is separate from sales examples and illustrative candidate lists.