Hate and Offensive Text Data Detection using NLP Model (IJRPR)
The goal of the current project is to use machine learning (ML) and natural language processing (NLP) techniques to create…
The Role of Context in Detecting the Target of Hate Speech (ACL Anthology)
Despite recent advances in natural language processing, detecting hate speech online is still a difficult issue. Contextual information encoding into…
MemHateCaptioning: Enhancing Hate Speech Detection in Memes with Context-Aware Captioning and Chain-of-Thought (ACM Digital Library)
Because memes are multimodal—combining text, pictures, and cultural cues—hate speech in them presents difficulties. In order to tackle this issue,…
Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate (arXiv)
Though there are still issues with automated counter-narratives’ (CN) emotive tone, accessibility, and ethical implications, CN presents a potential approach…
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data (arXiv)
It is expensive to gather labeled hate speech data, particularly for low-resource languages. Previous research indicates that data augmentation and…
Compositional Generalisation for Explainable Hate Speech Detection (arXiv)
Content moderation relies heavily on hate speech identification, however existing models frequently fall short of generalizing because of biases in…
Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, May 2025 (I/II)
Browse and read from a list of the 135 most popular LinkedIn resources, including 4 audios and 5 videos, dealing…
Efficient Hate Speech Detection: Evaluating 38 Models from Traditional Methods to Transformers (ACL Digital Library)
The increase of hate speech on social media necessitates automated detection that strikes a compromise between efficiency and accuracy. 38…
Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models (arXiv)
Memory features are increasingly used by commercial LLMs to provide tailored replies depending on user information, such as demographics. However,…
Hidden Hate: Analysis of Hate Speech on a Darknet Forum (Justice Quarterly)
The current study aims to examine the many targets of hate speech on the darknet forum Dread as well as…
Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, April 2025 (II/II)
Browse and read from a list of the 217 most popular LinkedIn resources, including 2 audios and 21 videos, dealing…
SAHSD: Enhancing Hate Speech Detection in LLM-Powered Web Applications via Sentiment Analysis and Few-Shot Learning (ACM Digital Library)
Due to skewed training data and a lack of annotated samples, hate speech moderation has become a major concern as…