Uncovering the New Accessibility Crisis in Scholarly PDFs
Not on the map. Why?
Abstract (arXiv)
Most scholarly works are distributed online in PDF format, which can present significant accessibility challenges for blind and low-vision readers. To characterize the scope of this issue, we perform a large-scale analysis of 20K open- and closed-access scholarly PDFs published between 2014-2023 sampled across broad fields of study. We assess the accessibility compliance of these documents based on six criteria: Default Language, Appropriate Nesting, Tagged PDF, Table Headers, Tab Order, and Alt-Text; selected based on prior work and the SIGACCESS Guide for Accessible PDFs. To ensure robustness, we corroborate our findings through automated accessibility checking, manual evaluation of alt text, comparative assessments with an alternate accessibility checker, and manual assessments with screen readers. Our findings reveal that less than 3.2% of tested PDFs satisfy all criteria, while a large majority (74.9%) fail to meet any criteria at all. Worse yet, we observe a concerning drop in PDF accessibility since 2019, largely among open-access papers, suggesting that efforts to improve document accessibility have not taken hold and are on a backslide. While investigating factors contributing to this drop, we identify key associations between fields of study, creation platforms used, models of publishing, and PDF accessibility compliance, suggesting that publisher and author choices significantly influence document accessibility. This paper highlights a new crisis in scholarly document accessibility and the need for a multi-faceted approach to address the problem, involving the development of better tools, enhanced author education, and systemic changes in academic publishing practices.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Oct 2024.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2025Benchmarking Document Parsers on Mathematical Formula Extraction from PDFscited by 4
- 2026Querying Multimodal Scientific Papers with AI: Practices and Preferences Across Blind, Low-Vision, and Sighted Scientistscited by 1
- 2025Paper2Web: Let's Make Your Paper Alive!cited by 0
- 2026Position: Assistive Agents Need Accessibility Alignmentcited by 0
- 2026Querying Multimodal Scientific Papers with AI: Practices and Preferences Across Blind, Low-Vision, and Sighted Scientists20 Jul 2026
- 2026Position: Assistive Agents Need Accessibility Alignment13 May 2026
- 2025Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs10 Dec 2025
- 2025Paper2Web: Let's Make Your Paper Alive!17 Oct 2025