Linguistic and psycholinguistic features such as verb ratio and aggressiveness are positively correlated with perceived ethnic bias¶
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Evidence · 1 study · associationalr1·q2·i1small
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
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q2 i1 Verb ratio and aggressiveness showed statistically significant positive correlations with the bias score (r = 0.193, p < 0.001), while target ethnic and disc arts showed negative correlations. → Josmario Albuquerque 2026
Evidence¶
Josmario Albuquerque 2026¶
Josmario Albuquerque, Bart Rienties, Martin Hlosta, Wayne Holmes. (2026). Learning Analytics to Uncover Ethnic Bias in Educational Texts: An Ensemble Learning Approach. Journal of Learning Analytics 13(1). https://doi.org/10.18608/jla.2026.8905
q2 · i1 · associational · r1
Pearson correlation-based feature analysis on the labelled OER dataset found "positive correlations" of r = 0.193 (p < 0.001) for verb ratio and aggressiveness with the bias score; features with significant correlations were retained for classification.
"Other features, such asvrb ratioandaggressiv, showed positive correlations (r=0.193 , <0.001 )."
Discussion¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
linguistic-features-correlate-ethnic-bias |
title |
Linguistic and psycholinguistic features such as verb ratio and aggressiveness are positively correlated with perceived ethnic bias |
description |
Linguistic and psycholinguistic features such as verb ratio and aggressiveness are positively correlated with perceived ethnic bias |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — josmario-albuquerque-2026 |
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