Cited by 1Digital Accessibility for DisabilitiesText Readability and SimplificationPublishing and Scholarly Communication

Enhancing Accessibility in Publishing: Leveraging GAI for Effective Alt-Text Solutions

Morelli, Caterina·2025·Technology for Inclusion and Participation for All: Recent Achievements and Future Directions

Integrity signals

Registry

Crossref · 10.1007/978-3-032-01632-4_48

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

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Cited by

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Authors
Morelli, C.
Affiliations
University of Rome Tor Vergata (IT)
Corresponding author
Morelli, Caterina
Venue
Technology for Inclusion and Participation for All: Recent Achievements and Future Directions
Published
2025
Pages
383-390
OpenAlex
W4413863318
Cited by
0
References
10
FWCI
0.00
Type
conference paper
Language
en
Open access
closed
Locations
Springer eBooks (publishedVersion)
Topics
  • Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
  • Physical Sciences › Computer Science › Artificial Intelligence › Text Readability and Simplification
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
Keywords
picture description, digital accessibility, generative AI, EPUB, image extraction, publishing workflow, accessibility compliance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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