RResearcharAcademic radar for researchers

Feed Venues Groups Network Inbox Profile

Your academic radar

One personalized feed of papers, calls for papers, collaborators and datasets — plus research groups and paid-in-points study recruitment.

Create account Log in

Top venues

Browse all

Loading…

Adding disclosure labels to tutorials: 4-to-1 Inline Win vs End-Card · Researchar

Back to feed

Paperopenalex

ZCE

Adding disclosure labels to tutorials: 4-to-1 Inline Win vs End-Card

Ethan Price · Zenodo (CERN European Organization for Nuclear Research) 2026 · 2026

DOI: 10.5281/zenodo.22775733

0citations

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and EducationComputer scienceMirroringRecall+2

ZCEZenodo (CERN European Organization for Nuclear Research)Repository

Download PDF Publisher

Adding disclosure labels to tutorials: 4-to-1 Inline Win vs End-Card

Open Access

Ethan Price·Zenodo (CERN European Organization for Nuclear Research)(2026)

Download Open in tab

Viewing in embedded reader. If this publisher restricts inline iframe preview:

Open directly Download PDF

Citations by source

Synced 2026-09-17T02:30:45.592287Z

0OpenAlex · primary0Semantic Scholar0Crossref

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

Abstract

Compare 4-second inline AI voiceover tags vs end-cards before the 2 August 2026 Article 50 deadline. See why inline lifts recall 18% and ensures compliance. Independent technical note mirroring the canonical version: https://aitutorialmaker.com/blog/adding-disclosure-labels-to-tutorials-4-to-1-inline-win-vs-end-card.php

Discussion (0)

No comments yet — start the discussion below.