International Day for Countering Hate Speech 2025: Hate Speech and Artificial Intelligence nexus (United Nations)
Experts and practitioners in the field of coalition building for fighting hate speech are included in the event film, sharing…
Reducing the Emotional Distress of Content Moderators through LLM-based Target Substitution in Implicit and Explicit Hate-Speech (ACM)
Detecting hate speech is challenging due to its subtle, context-dependent nature—especially when it targets specific groups. This study explores how…
Video… Preventing and combatting hate crime, including criminalised hate speech, in focus of a conference in Strasbourg (Council of Europe)
Among the main subjects of discussion at the Conference on Preventing and Combating Hate Crime, which will take place in…
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets (arXiv)
Because hate speech has increased due to the growth of internet platforms, scalable detection techniques are needed. However, these algorithms…
New on counter-terrorism.org, 18 June 2025 (Policyinstitute.net)
counter-terrorism.org | Policyinstitute.net
Understanding & improving how kids report online harm (internet matters)
The authors conducted a UK nationally representative survey of 2,000 parents and 1,000 children. We also conducted qualitative research with…
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,…
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…
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.…
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…