DALC: the Dutch Abusive Language Corpus
Tommaso Caselli, Arjan Schelhaas, Marieke Weultjes, Folkert Leistra, Hylke van der Veen, Gerben Timmerman, Malvina Nissim · 2021
As socially unacceptable language become pervasive in social media platforms, the need for automatic content moderation become more pressing.This contribution introduces the Dutch Abusive Language Corpus (DALC v1.0), a new dataset with tweets manually annotated for abusive language.The resource address a gap in language resources for Dutch and adopts a multi-layer annotation scheme modeling the explicitness and the target of the abusive messages.Baselines experiments on all annotation layers have been conducted, achieving a macro F1 score of 0.748 for binary classification of the explicitness layer and .489for target classification.