Probing LLMs for hate speech detection: strengths and vulnerabilities (arXiv)
We utilise different prompt variation, input information and evaluate large language models in zero shot setting (without adding any in-context…
AI-Driven Anomaly Detection On Social Media: 5 Things To Consider (Forbes)
In order to truly unlock the potential of boosting cybersecurity with anomaly detection, it’s important to put AI and ML…
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.…
Free Resources on Countering Extremism and Hate Speech, September 2023 (II/II)
Browse and read from a list of the 125 most popular LinkedIn posts about counter-extremism and countering hate speech by…
Pars-HAO: Hate Speech and OffensiveLanguage Detection on Persian Social MediaUsing Ensemble Learning (TechRxiv)
This articleintroduces a 3-class dataset named Pars-HAO, consisting of 8013 tweets, to fill the gap in existing research. We collected…
Lowenstein Clinic Proposes Framework to Moderate Indirect Hate Speech Online (Yale Law School)
In light of social media contributing to violence in volatile regions, the Allard K. Lowenstein International Human Rights Clinic at…
MetaHate: AI-based hate speech detection for secured online gaming in metaverse using blockchain (Wiley)
This article proposes a novel framework, MetaHate, that employs AI and BC to detect and combat hate speech in online…
Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space (ACL Anthology)
In this paper, we propose a targeted and efficient approach to identifying hate speech by detecting slurs at the lexical…
Free Resources on Countering Extremism and Hate Speech, September 2023 (I/II)
Browse and read from a list of the 175 most popular LinkedIn posts about counter-extremism and countering hate speech by…
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate (ACL Anthology)
While the unimodal-text context-aware (transformer) model was the most accurate on the subtask of implicit hate detection, the multimodal model…
Deep learning based fusion strategies for hate speech detection to combine the classifiers to improve classification performance (AIP Conference Procedingsw)
his article demonstrates how tweets may be classified as hostile or normal based on the information they include. When the…
MULTILINGUAL HATE SPEECH AND OFFENSIVE LANGUAGE DETECTION (Eur. Chem. Bull.)
This paper aims to explain our group SSN_NLP_MLRG submission to HASOC 2021: Hate speech and offensive language detection in English…