UPDF AI

Examining inferred author and textual correlates of harmful language annotation

Katerina Korre,Angelo Basile,3 Authors,Alberto Barrón-Cedeño

2025 · DOI: 10.1007/s10579-025-09822-7
Language Resources and Evaluation · 1 Citations

TLDR

While the frequency of the psycholinguistic text aspects that can be derived from the author’s personality does not differ significantly between harmful and non-harmful classes, the inferred text aspects are statistically associated with the annotators’ perception of harmful language and could potentially influence the way annotators label the texts.