ChatGPT recommendation accuracy was comparable between the open-support and reflection conditions, ruling out unequal exposure to erroneous advice¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: 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.
q3 i? A logistic mixed-effects exposure check found no condition difference in recommendation accuracy (66.3% vs. 67.0% correct). → Ren S 2026
Evidence¶
Ren S 2026¶
Ren S (2026) College students’ metacognitive awareness of generative-AI reliance: an experimental study of decision confidence and attribution bias. Front. Psychol. 17:1926110. https://doi.org/10.3389/fpsyg.2026.1926110
q3 · i? · causal · r2
Exposure check on coded final ChatGPT recommendations across AI-assisted task-level observations; "no evidence of a condition difference in recommendation accuracy". Condition-by-task-category interactions were nonsignificant after Holm adjustment (all adjusted p > 0.50). No standardized effect size is printed.
"A logistic mixed-effectsmodelwithparticipantandtask random intercepts found no evidence of a condition difference in recommendation accuracy (β = 0.03, SE = 0.06, z = 0.57, p = 0.57)."
Discussion¶
Related Claims¶
- A brief metacognitive reflection prompt reduces acceptance of incorrect AI advice compared with open ChatGPT support alone — related
- Reflection improves correspondence between perceived and behavioral reliance on ChatGPT — related
- Reflection produced selective rather than blanket rejection of AI: alignment with correct advice stayed high while alignment with incorrect advice dropped — related
- Students frequently accepted misleading AI recommendations (overreliance) while rarely rejecting correct ones (underreliance) — related
- Open ChatGPT support produces stronger self-serving attribution bias than ChatGPT support with reflection — related
- Open ChatGPT support increases college students' final decision confidence relative to independent decision-making, and reflection attenuates the boost — related
- Better awareness calibration co-occurs with lower incorrect-advice acceptance and lower attribution bias, interpreted associationally only — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
comparable-chatgpt-recommendation-accuracy |
title |
ChatGPT recommendation accuracy was comparable between the open-support and reflection conditions, ruling out unequal exposure to erroneous advice |
description |
ChatGPT recommendation accuracy was comparable between the open-support and reflection conditions, ruling out unequal exposure to erroneous advice |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ren-s-2026 |
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