Thirty years of research into hate speech: topics of interest and their evolution (Scientometrics)
Social media’s explosive growth has accelerated the dissemination of misinformation and hate speech directed at specific people or groups on…
HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter (ACL Anthology)
Biases in evaluation datasets hinder the real-world usefulness of current hate speech detection models. HateDay is a globally representative hate…
Advancing Hate Speech Detection with Transformers: Insights from the MetaHate (arXiv)
Individuals and communities are at significant social, psychological, and bodily risk from hate speech, which includes insults and libelous posts.…
Classification is a RAG problem: A case study on hate speech detection (Hugging Face)
Adaptable classification algorithms that react to changing regulations without frequent retraining are necessary for effective content control. In this work,…
The perpetration of on- and offline hate speech among secondary school students (Frontiers in Human Dynamics)
The current study investigates the relationship between the propagation of hate speech and the violence that adolescents encounter and inflict,…
A Comprehensive Survey on Urdu Hate Speech Detection: Methods, Evaluation, and Challenges (IEEE)
Growing online communities, easy access to social media, user anonymity, the speed at which information spreads, and increased awareness of…
Towards Explainable Hate Speech Detection (ACl Anthology)
Natural language processing (NLP) activities are now much more accurate and efficient because to recent developments in deep learning. However,…
Testing Hypotheses from the Social Approval Theory of Online Hate: An Analysis of 110 Million Posts from Parler (arXiv)
With an emphasis on Walther’s (2024) theory, the current study examines how social approbation may fuel hate speech online: (H1a)…
Negative Feedback Fuels Hate Speech: A Deep Learning Analysis of 25 Million News Comments (Journalism Research News)
Hyo-sun Ryu and Jae Kook Lee of Sungkyunkwan University used deep learning hate speech detection software to examine 25 million…
Enhancing social media hate speech detection in low-resource languages using transformers and explainable AI (Social Network Analysis and Mining)
Although the majority of study has focused on high-resource languages, hate speech on social media poses a threat to public…
Topological data mapping of online hate speech, misinformation, and general mental health: A large language model based study (PLOS. Digital Health)
The emergence of social media has sparked grave worries about how it may contribute to discrimination and even social violence…
Perspective Chapter: Countering Hate Speech in the Postdigital Age – A Challenge for ‘Onlife Citizenship’ (intechopen)
Educational institutions are under increasing pressure to stop and deal with hate speech in the postdigital age. The necessity to…