Claims

ChatGPT-generated text shows inaccuracy, weak logical flow, lack of critical elaboration and non-originality in an author's first-hand test

Claim · All claims
Evidence · 1 study · review r2 · q1
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person · recheck by 2026: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q1 i? A first-hand trial generating an essay with ChatGPT produced text judged weak in logical flow, factually inaccurate, uncritical and non-original, with fabricated references. → Dwivedi 2023

Evidence

Dwivedi 2023

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., Carter, L., Chowdhury, S., Crick, T., Cunningham, S. W., Davies, G. H., Davison, R. M., Dé, R., Dennehy, D., Duan, Y., Dubey, R., Dwivedi, R., Edwards, J. S., Flavián, C., Gauld, R., Grover, V., Hu, M.-C., Janssen, M., Jones, P., Junglas, I., Khorana, S., Kraus, S., Larsen, K. R., Latreille, P., Laumer, S., Malik, F. T., Mardani, A., Mariani, M., Mithas, S., Mogaji, E., Nord, J. H., O'Connor, S., Okumus, F., Pagani, M., Pandey, N., Papagiannidis, S., Pappas, I. O., Pathak, N., Pries-Heje, J., Raman, R., Rana, N. P., Rehm, S.-V., Ribeiro-Navarrete, S., Richter, A., Rowe, F., Sarker, S., Stahl, B. C., Tiwari, M. K., van der Aalst, W., Venkatesh, V., Viglia, G., Wade, M., Walton, P., Wirtz, J. and Wright, R. (2023) "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71. https://doi.org/10.1016/j.ijinfomgt.2023.102642

q1 · i? · review · r2

First-person expert account of asking ChatGPT in early December for an essay on big data and innovation management; when references were requested, "the software simply pulled together a list of 5 references with wrong titles associated wrongly to authors, journals and publications years."

"The result was rather disappointing as the text seemed rather weak in terms of logical flow, inaccurate in terms of factuality and truth, not critical in terms of elaboration of data, and not novel."

Discussion

Page metadata
Field Value
type claim
id chatgpt-output-inaccuracy-nonoriginality
title ChatGPT-generated text shows inaccuracy, weak logical flow, lack of critical elaboration and non-originality in an author's first-hand test
description ChatGPT-generated text shows inaccuracy, weak logical flow, lack of critical elaboration and non-originality in an author's first-hand test
status review
evidence_strength weak
newest_evidence 2023
recheck_by 2026
generated by process:wiki-ingest on 2026-10-15
trust unverified — no one has confirmed this page's content
sources 1 — dwivedi-2023

Frontmatter is the page's machine-readable record — see the Schema & Guide.