What does open academic research measure about how people watch short-form vertical video, and does any of it test hooks, pacing or framing?
Three open papers measure short-form viewing without manipulating hooks, pacing or framing: a TikTok data-donation study (arXiv 2301.04945v2, 347 users) reports a median per-view 'attention' (inferred watch fraction, capped at 100%) of 82%; a lab study with a YouTube-Shorts-like player (arXiv 2603.22663v1, 50 users) reports about 70% of sessions ending before 20% of the video; a third (arXiv 2503.20030v1) studies how recommendations evolve. The 82% and 70% figures are different statistics from different populations. The three papers carry different reuse statements (CC BY 4.0, an ACM permission notice, and none), so quote them minimally.
Three open papers measure short-form viewing without manipulating hooks, pacing or framing: a TikTok data-donation study (arXiv 2301.04945v2, 347 users) reports a median per-view 'attention' (inferred watch fraction, capped at 100%) of 82%; a lab study with a YouTube-Shorts-like player (arXiv 2603.22663v1, 50 users) reports about 70% of sessions ending before 20% of the video; a third (arXiv 2503.20030v1) studies how recommendations evolve. The 82% and 70% figures are different statistics from different populations. The three papers carry different reuse statements (CC BY 4.0, an ACM permission notice, and none), so quote them minimally.
Curator qualifications: The 82% figure appears only in v2 (2024) of 2301.04945; cite v2 explicitly. Attention is inferred from donated logs, not observed viewing. The negative (no hook/pacing test) is limited to these three papers. Category-appeal interpretation in S15 is the authors'. Text only; no data reanalysed. Amendments applied: CA-AM-0005.
Limitations: Small, non-representative samples; platform-specific.
Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.
Structured fields
{
"citations": [
{
"url": "https://arxiv.org/abs/2301.04945",
"note": "arxiv.org/abs/2301.04945; 2301.04945v2 PDF (pdftotext lines 1125-1140, 1625-1636); 2301.04945v1 PDF; 2603.22663v1 PDF lines 163, 179, 200-210; 2503.20030v1 PDF lines 10, 33"
},
{
"url": "https://arxiv.org/abs/2603.22663",
"note": "arxiv.org/abs/2301.04945; 2301.04945v2 PDF (pdftotext lines 1125-1140, 1625-1636); 2301.04945v1 PDF; 2603.22663v1 PDF lines 163, 179, 200-210; 2503.20030v1 PDF lines 10, 33"
},
{
"url": "https://arxiv.org/abs/2503.20030",
"note": "arxiv.org/abs/2301.04945; 2301.04945v2 PDF (pdftotext lines 1125-1140, 1625-1636); 2301.04945v1 PDF; 2603.22663v1 PDF lines 163, 179, 200-210; 2503.20030v1 PDF lines 10, 33"
}
]
}Evidence claims
- [sourced_fact] Three open papers measure short-form viewing without manipulating hooks, pacing or framing: a TikTok data-donation study (arXiv 2301.04945v2, 347 users) reports a median per-view 'attention' (inferred watch fraction, capped at 100%) of 82%; a lab study with a YouTube-Shorts-like player (arXiv 2603.22663v1, 50 users) reports about 70% of sessions ending before 20% of the video; a third (arXiv 2503.20030v1) studies how recommendations evolve. The 82% and 70% figures are different statistics from different populations. The three papers carry different reuse statements (CC BY 4.0, an ACM permission notice, and none), so quote them minimally. · locator: arxiv.org/abs/2301.04945; 2301.04945v2 PDF (pdftotext lines 1125-1140, 1625-1636); 2301.04945v1 PDF; 2603.22663v1 PDF lines 163, 179, 200-210; 2503.20030v1 PDF lines 10, 33 source
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | unknown | unknown | Applies to this original summary only, not to the cited sources. |
Linked records
- cites → https://arxiv.org/abs/2301.04945
- cites → https://arxiv.org/abs/2503.20030
- cites → https://arxiv.org/abs/2603.22663