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…
Stronger Together: Unleashing the Social Impact of Hate Speech Research (arXiv)
For disenfranchised populations, the internet has been both a boon and a bane. Despite its ability to bridge gaps, technology…
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…
Online hate and abuse in sport: a report by Ofcom in partnership with Kick it Out (Ofcom)
The current study looks at the hostility and abuse that professionals in the broadcasting and sports industries have experienced online.…
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,…
Countering Hate Speech through Prosocial Student Projects (ACM Digital Library)
Conspiracy theories, hate speech directed toward weaker groups, and disinformation pose a danger to democracy, justice, and peace. Because hate…
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (ACL Anthology)
The study explains how SemEval 2019 Task 5—which involves identifying hate speech against women and immigrants in Spanish and English…