AYO
arXiv:2611.10054v1 Announce Type: new Abstract: Children and adolescents are increasingly interacting with generative AI and large language models (LLMs), yet little is known about how these interactions may influence their development, beliefs, and behavior. Existing research has relied heavily on surveys, while direct study of children's interactions with
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- First observed in our collection
- Nov 11, 2026, 1:30 AM UTC
- Earliest cited publication
- Nov 10, 2026, 5:00 AM UTC
- Last observed
- Nov 11, 2026, 1:30 AM UTC
Evidence in the last complete seven days
- Source mentions
- 1 Previous seven days 0
- Distinct sources
- 1 Previous 0
- Comparable growth
- Not comparable
- Ranking appearances
- 0
Collection observations and undated records are separate from dated publication counts. Observed in 7d：0 · Undated records：0
Collection coverage · Comparable windowsCurrent / previous observed days 7 / 7
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window：2026-11-04 → 2026-11-11 (end excluded) · History 23 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 7 | 6 | Nov 11, 2026, 1:30 AM UTC |
| arXiv | 7 | 7 | Nov 10, 2026, 6:15 AM UTC |
| Ask HN | 7 | 7 | Nov 10, 2026, 7:45 PM UTC |
| Ask HN | 7 | 7 | Nov 11, 2026, 1:30 AM UTC |
| Ask HN | 7 | 7 | Nov 11, 2026, 1:30 AM UTC |
| Ask HN | 7 | 7 | Nov 11, 2026, 1:30 AM UTC |
| GitHub | 7 | 7 | Nov 10, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 7 | Nov 10, 2026, 5:00 PM UTC |
| GitHub Releases | 7 | 7 | Nov 10, 2026, 1:30 PM UTC |
| GitHub | 7 | 7 | Nov 10, 2026, 4:00 PM UTC |
| GitHub Issues | 7 | 7 | Nov 10, 2026, 6:30 PM UTC |
| GitHub Releases | 7 | 7 | Nov 10, 2026, 6:30 PM UTC |
| GitHub | 7 | 7 | Nov 10, 2026, 4:00 PM UTC |
| GitHub Issues | 7 | 7 | Nov 10, 2026, 6:30 PM UTC |
| GitHub Releases | 7 | 7 | Nov 10, 2026, 6:30 PM UTC |
| GitHub Discovery | 6 | 0 | Nov 11, 2026, 1:30 AM UTC |
| GitHub Trending | 7 | 7 | Nov 10, 2026, 9:00 PM UTC |
| 7 | 7 | Nov 10, 2026, 9:00 AM UTC | |
| Hugging Face | 7 | 7 | Nov 10, 2026, 9:00 AM UTC |
| Hugging Face Spaces | 6 | 0 | Nov 11, 2026, 12:45 AM UTC |
| Hacker News | 7 | 7 | Nov 10, 2026, 9:00 PM UTC |
| Hacker News | 7 | 7 | Nov 11, 2026, 1:30 AM UTC |
| Hacker News | 7 | 7 | Nov 10, 2026, 7:45 PM UTC |
| Hacker News | 6 | 0 | Nov 11, 2026, 1:30 AM UTC |
| Show HN | 6 | 0 | Nov 11, 2026, 1:30 AM UTC |
| MIT News | 6 | 7 | Nov 11, 2026, 12:45 AM UTC |
| OpenAI | 7 | 7 | Nov 10, 2026, 12:15 PM UTC |
| Product Hunt | 7 | 7 | Nov 10, 2026, 9:00 PM UTC |
| 量子位 | 5 | 7 | Nov 10, 2026, 12:00 PM UTC |
| OpenRouter | 6 | 0 | Nov 11, 2026, 1:07 AM UTC |
| GitHub Trending | 7 | 7 | Nov 10, 2026, 3:00 PM UTC |
| Hugging Face Models | 6 | 0 | Nov 11, 2026, 1:03 AM UTC |
| HF Daily Papers | 6 | 0 | Nov 11, 2026, 1:03 AM UTC |
| OpenRouter | 6 | 0 | Nov 11, 2026, 1:07 AM UTC |
| Product Hunt | 7 | 7 | Nov 10, 2026, 3:00 PM UTC |
| SEC EDGAR | 7 | 7 | Nov 11, 2026, 12:00 AM UTC |
| Sequoia Capital | 7 | 7 | Nov 10, 2026, 7:15 AM UTC |
| Simon Willison | 6 | 0 | Nov 10, 2026, 4:15 PM UTC |
| TechCrunch | 7 | 7 | Nov 10, 2026, 11:30 PM UTC |
| Contracts Finder | 7 | 7 | Nov 10, 2026, 9:15 PM UTC |
| V2EX | 7 | 7 | Nov 10, 2026, 11:30 PM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
Daily history · up to 90 days
Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.
View accessible daily data
| UTC date | Mentions | Sources | Observations | Ranking appearances |
|---|---|---|---|---|
| 2026-10-28 | 0 | 0 | 0 | 0 |
| 2026-10-29 | 0 | 0 | 0 | 0 |
| 2026-10-30 | 0 | 0 | 0 | 0 |
| 2026-10-31 | 0 | 0 | 0 | 0 |
| 2026-11-01 | 0 | 0 | 0 | 0 |
| 2026-11-02 | 0 | 0 | 0 | 0 |
| 2026-11-03 | 0 | 0 | 0 | 0 |
| 2026-11-04 | 0 | 0 | 0 | 0 |
| 2026-11-05 | 0 | 0 | 0 | 0 |
| 2026-11-06 | 0 | 0 | 0 | 0 |
| 2026-11-07 | 0 | 0 | 0 | 0 |
| 2026-11-08 | 0 | 0 | 0 | 0 |
| 2026-11-09 | 0 | 0 | 0 | 0 |
| 2026-11-10 | 1 | 1 | 0 | 0 |
| 2026-11-11 | 0 | 0 | 1 | 0 |
Source evidence
Sources in the evidence shown：arXiv 1
arXiv · Published Nov 10, 2026
AYO: A Safe and Privacy-Preserving Platform for Studying Children's Interaction with LLMs
arXiv:2611.10054v1 Announce Type: new Abstract: Children and adolescents are increasingly interacting with generative AI and large language models (LLMs), yet little is known about how these interactions may influence their development, beliefs, and behavior. Existing research has relied heavily on surveys, while direct study of children's interactions with
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Review priority 40 / 100
This score orders research candidates. It is not search volume, a forecast or verified commercial demand.
Evidence
8 / 30Distinct dated articles or first observations; repeat crawling adds nothing.
Publisher diversity
8 / 25Conservative owner grouping; syndicated copies count once.
Comparable change
0 / 20Comparable complete weeks only; no percentage from a zero baseline.
Recent evidence
15 / 15Latest publication or first observation, not repeated fetch time.
Name specificity
8.5 / 10Explicit entities and technical concepts outrank ambiguous acronyms.
Limitations and interpretation
- First observation is a collection milestone, not proof that a word or product is new to the world.
- Counts describe monitored public sources, not the whole web or search demand.
- First observed here is not the invention date of a name or idea.
- Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
- Owner grouping is conservative; undisclosed syndication may remain.
- The previous week is too small for a reliable percentage change.
- Current evidence comes from one publisher or owner.