Cited by 1Academic integrity and plagiarismscientometrics and bibliometrics researchEthics and Social Impacts of AI

The DOI matches its DataCite record.

‘Conversations’ with ChatGPT regarding its knowledge of Ben Williamson’s publications and the creation of AI-Generated Ghost Citations

Open access
Spennemann, Dirk·2026·Charles Sturt University

Abstract

Following the protocol for the reporting of conversations with ChatGPT[1], this supportive document provides the full text of the conversations with ChatGPT that were used and analysed in the following paper: Spennemann, Dirk H. R. (2026). How unique are hallucinated citations offered by generative Artificial Intelligence models ?

Overview

Integrity signals

Registry

DataCite · 10.26189/ca3bec7b-fe3f-44bd-a3cc-f6af2f4e9146

Cites

Statistics

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

Verification

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.

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?

Citations

Cites

Still being checked.

Cited by

Metadata

Authors
Spennemann, D.
Affiliations
Charles Sturt University (AU)
Corresponding author
Spennemann, Dirk
Venue
Charles Sturt University
Publisher
Charles Sturt University
Published
2026
OpenAlex
W7143479437
Cited by
0
References
0
Type
dataset
Language
en
Open access
Locations
Charles Sturt University
Topics
  • Social Sciences › Education › Academic integrity and plagiarism
  • Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Keywords
ChatGPT, hallucinations, AI-generated citations, citation accuracy, generative AI

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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