Claims

Users' baseline ranking accuracy significantly predicts the quality of the AI assistant's advice

Claim · All claims
Evidence · 1 study · causal r2 · 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? Baseline ranking accuracy significantly predicted AI advice quality (b = 0.478, p = .008), indicating lower-quality initial responses lead to poorer AI advice. → Cansu Koyuturk 2026

Evidence

Cansu Koyuturk 2026

Cansu Koyuturk, Sabrina Guidotti, and Dimitri Ognibene. (2026). The Hidden Cost of Contextual Sycophancy: an AI Literacy Intervention in Human–AI Collaboration. https://arxiv.org/abs/2605.18372 doi:10.48550/arxiv.2605.18372

q3 · i? · causal · r2

Regression of AI advice quality (NDCG@6 of the assistant's top-6 recommendations, extracted via an LLM-as-judge pipeline) on baseline ranking accuracy and condition in the 60-participant experiment. The article reports "b = 0.478, SE = 0.180, z = 2.65, p = .008, 95% CI [0.125, 0.831]".

"Baseline accuracy significantly predicted advice quality, b = 0.478, SE = 0.180, z = 2.65, p = .008, 95% CI [0.125, 0.831]."

Discussion

Page metadata
Field Value
type claim
id baseline-accuracy-predicts-advice-quality
title Users' baseline ranking accuracy significantly predicts the quality of the AI assistant's advice
description Users' baseline ranking accuracy significantly predicts the quality of the AI assistant's advice
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — cansu-koyuturk-2026

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