Claims

Dialogue-derived interactional cues robustly encode ground-truth identity, achieving near-ceiling AI identification under cross-validation

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? A Top-1 identification analysis correctly identified the AI teammate in 95.3% of triads, far exceeding the 33.3% chance baseline, and performance remained high when timing features were excluded. → Lixiang Yan 2026

Evidence

Lixiang Yan 2026

Lixiang Yan, Yueqiao Jin, Xibin Han, Dragan Gasevic. (2026). Socially fluent AI decouples conversational signals from source identity in online interaction. https://arxiv.org/abs/2605.23426 doi:10.48550/arxiv.2605.23426

q3 · i? · causal · r2

A Top-1 identification analysis per triad "correctly identified the AI teammate in 95.3% of triads" (95% CI [0.91, 1.00]) versus a 33.3% chance baseline; performance remained comparably high without timing features (96.6%). Permutation tests confirmed the observed AUC lay far in the upper tail (p < .001).

"At the group level, a Top-1 identification analysis, selecting the single teammate with the highest predicted probability per triad, correctly identified the AI teammate in 95.3% of triads (95% CI [0.91, 1.00]), far exceeding the chance baseline of 33.3%."

Discussion

Page metadata
Field Value
type claim
id cues-encode-identity-near-ceiling-classification
title Dialogue-derived interactional cues robustly encode ground-truth identity, achieving near-ceiling AI identification under cross-validation
description Dialogue-derived interactional cues robustly encode ground-truth identity, achieving near-ceiling AI identification under cross-validation
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 — lixiang-yan-2026

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