📈 New paper published at LRE (if. 1.7)
Overview This study examines whether the psycholinguistic and demographic characteristics of authors of online texts are correlated with the way harmful language, such as toxicity and hate speech, is judged. We apply artificial intelligence models to two harmful language datasets, Jigsaw’s Special Rater Pool dataset and the Measuring Hate Speech dataset, to generate probabilities for different text aspects, namely inferring demographic information of the author behind the suspicious text in terms of age and gender, as well as the expressed emotions, emotionality, sentiment and communication style.
May 24, 2025
