PreprintCited by 1Library Science and InformationWeb and Library ServicesLibrary Science and Information Literacy

Exploring the potential of AI to Revolutionize Information Access and Management in Higher Education Libraries

Open access
Chouia, Mouhcine·2025·SSRN Electronic Journal

Integrity signals

Registry

Crossref · 10.2139/ssrn.5238629

Cites

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cited by

Sorted by citations

Authors
Chouia, M.
Corresponding author
Chouia, Mouhcine
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2025
ISSN
1556-5068 (ISSN-L)
OpenAlex
W4411451426
Cited by
1
References
0
Citations by year
2025: 1
Type
posted content
Language
en
Open access
Locations
SSRN Electronic Journal (acceptedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Library Science and Information
  • Physical Sciences › Computer Science › Information Systems › Web and Library Services
  • Social Sciences › Library and Information Sciences › Library Science and Information Literacy
Keywords
artificial intelligence in libraries, academic libraries, access to information, information management, natural language processing, robotic process automation, machine learning, library services, AI ethics, future scenarios, library policy, user expectations

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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