The DOI matches its Crossref record.
Corruption in the post-plagiarism era: weaponizing reputation and morality in the name of integrity in higher education
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cited by
Sorted by citations
Developing the HAKI model as a conceptual framework for AI-assisted academic research
Shahini, A. (2026) · Discover Education · doi:10.1007/s44217-026-02041-4
Metadata
- Authors
- Eaton, S. E.
- Corresponding author
- Eaton, Sarah Elaine
- ORCID
- Eaton, Sarah Elaine
- Venue
- Handbook on Corruption in Higher Education
- Publisher
- Edward Elgar Publishing
- Published
- 2025-09-22
- Pages
- 146-161
- OpenAlex
- W4414227827
- Cited by
- 5
- References
- 0
- Citations by year
- 2026: 5
- FWCI
- 16.07
- Type
- book chapter
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Edward Elgar Publishing eBooks (publishedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Education › Academic integrity and plagiarism
- Social Sciences › Sociology and Political Science › Corruption and Economic Development
- Social Sciences › Education › Higher Education Governance and Development
- Keywords
- corruption, plagiarism, academic integrity, academic reputation, morality, higher education, academic misconduct
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 ›
Are you an author, or do you see a problem with this page? Request a review