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…
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…
… the challenge of protecting against discrimination, dehumanisation, and incitement to violence while preserving individual freedom of expression seems to…
“The report from the Anti-Defamation League found usernames with racist and anti-LGBTQ+ language, an indication of shortcomings in moderation.” https://www.nbcnews.com/tech/video-games/online-games-struggle-rein-hateful-usernames-report-finds-rcna95605
Thus, the purpose of the present study was to investigate the psychometric properties of the newly developed Multidimensional Bystander Responses…
This document sets up the main recommendations identified through the three years of engagement and dialogue on this topic. It…