Cited by 122Artificial Intelligence ApplicationsEthics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

The advantages and limitations of using ChatGPT to enhance technological research

Open access
Rice, Stephen, Crouse, Sean R., Winter, Scott R., Rice, Connor·2024·Technology in Society

Integrity signals

Registry

Crossref · 10.1016/j.techsoc.2023.102426

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

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

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Rice, S., Crouse, S. R., Winter, S. R., & Rice, C.
Affiliations
  • University of Florida (US)
  • Embry-Riddle Aeronautical University Daytona Beach Florida Campus (US)
Corresponding author
Winter, Scott R.
Venue
Technology in Society
Publisher
Elsevier BV
Published
2024-03
Volume
76
Pages
102426
ISSN
0160-791X (ISSN-L)
OpenAlex
W4388914441
Cited by
122
References
3
Citations by year
2026: 26 · 2025: 38 · 2024: 56 · 2023: 2
FWCI
10.80
Type
journal article
Language
en
Open access
Locations
  • Technology in Society (publishedVersion)
  • SSRN Electronic Journal (acceptedVersion)
  • Scholarly Commons (Embry–Riddle Aeronautical University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
ChatGPT, GPT-4, large language models, research tools, AI-assisted research, fact-checking, AI limitations, technological research

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