Work

The Relevance of Value Systems for Offensive Language Detection

Year: 2026

Type: conference-paper

Abstract: Warning: This paper contains content that may be offensive or upsetting.We examine in how far a person's value system has an impact on their perception of offensiveness.For instance, a scholar is likely to be offended by being accused of reporting unverified claims whereas many non-scholars would not feel that way.Thus, we move away from the assumption that offensiveness can be defined through a universal perspective.Ultimately, such research aims to support personalized approaches to content moderation.Our main contribution is the introduction of a dataset consisting of neutrally-phrased sentences on controversial topics, evaluated by individuals from 4 different value systems.This allows us to identify offensiveness patterns across value systems and conduct classification experiments.

Source: Conference of the European Chapter of the Association for Computational Linguistics

DOI: 10.18653/v1/2026.eacl-long.319

Authors: Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer

Institutions: University of Vienna, Austrian Academy of Sciences, Austrian Centre for Digital Humanities, FernUniversität in Hagen

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Austrian Science Fund

Award: Linguistic Methods for the Detection of Implicit Abuse