An In-depth Analysis of Implicit and Subtle Hate Speech Messages (ACL Anthology)
In this paper, we first provide an in-depth and systematic analysis of 7 standard benchmarks for HS detection, relying on…
What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection (ACL Anthology)
Hate speech has unfortunately become a significant phenomenon on social media platforms, and it can cover various topics (misogyny, sexism,…
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection (paperswithcode)
Our research introduces a cross-platform hate speech detection model capable of being trained on one platform’s data and generalizing to…
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation (catalycex)
The automatic detection of hate speech online is an active research area in NLP. Most of the studies to date…
Review on Countering Extremism and Hate Speech. July 2023 (II/II) | Policyinstitute.net
Browse and read from a list of the 150 most popular LinkedIn posts about counter-extremism and countering hate speech by…
What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection (ACL Anthology)
In this paper, we propose, for the first time, a topic-oriented approach to study generalization across popular hate speech datasets.…
An In-depth Analysis of Implicit and Subtle Hate Speech Messages (ACL Anthology)
In this paper, we first provide an in-depth and systematic analysis of 7 standard benchmarks for HS detection, relying on…
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media (arXiv)
We present the Multi-Modal Discussion Transformer (mDT), a novel multi-modal graph-based transformer model for detecting hate speech in online social…
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection (arXiv)
In this paper, we present Rule By Example (RBE): a novel exemplar-based contrastive learning approach for learning from logical rules…
Consensus on community guidelines: an experimental study on the legitimacy of content removal in social media (Humanities and Social Sciences Communications)
Our experimental data reveals that the degree of consensus on the need to remove content is quite high, regardless of…
Unveiling the European Landscape of Online Hate: Insights from two years of the European Observatory of Online Hate (EOOH)
Over the course of two years, the EOOH has made significant strides in understanding the dynamics of online hate, its…
Exploring Intensities of Hate Speech on Social Media: A Case Study on Explaining Multilingual Models with XAI (JKU Visual Data Science Lab)
In order to present a more accurate spectrum of severity and surmount the constraints of seeing hate speech as a…