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…
Preventhate.org | Policyinstitute.net
Averting and Countering Online Hatred
Our research introduces a cross-platform hate speech detection model capable of being trained on one platform’s data and generalizing to…
The automatic detection of hate speech online is an active research area in NLP. Most of the studies to date…
Browse and read from a list of the 150 most popular LinkedIn posts about counter-extremism and countering hate speech by…
In this paper, we propose, for the first time, a topic-oriented approach to study generalization across popular hate speech datasets.…
In this paper, we first provide an in-depth and systematic analysis of 7 standard benchmarks for HS detection, relying on…
We present the Multi-Modal Discussion Transformer (mDT), a novel multi-modal graph-based transformer model for detecting hate speech in online social…
In this paper, we present Rule By Example (RBE): a novel exemplar-based contrastive learning approach for learning from logical rules…
Our experimental data reveals that the degree of consensus on the need to remove content is quite high, regardless of…
Over the course of two years, the EOOH has made significant strides in understanding the dynamics of online hate, its…
In order to present a more accurate spectrum of severity and surmount the constraints of seeing hate speech as a…
In this study we provide a comprehensive empirical evaluation of numerous public datasets commonly employed in automated hate speech classification.…
The paper introduces a very current topic in the field of natural language processing oriented to the automatic detection of…