Audio: preventhate.org, 23 September 2025
(Gemini Audio) (preventhate.org) – Multiple research efforts are focused on improving the detection and regulation of hate speech across diverse…
Relieving Bias in Hate Speech Detection with a Small Number of Expert Annotations: A Prompt-based Learning Approach (SSRN)
The research at hand tackles bias in automatic hate speech detection on social media, where linguistic heterogeneity within speaker groups…
Hate Speech Regulation: Comparative Analysis in Global South Countries (SSRN)
Five nations from the Global South—South Africa, Argentina, Colombia, India, and Mexico—were chosen for the current study’s comparative legal research…
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models (arXiv)
The researchers provide SMARTER, a two-stage paradigm for explainable content moderation that uses Large Language Models (LLMs) and is data-efficient.…
AI-driven detection of hate speech on social media: a case study in the French language (HomeCluster Computing)
The understudied field of hate speech identification in French-language social media, where platform ubiquity and user anonymity have increased the…
A Robust and Linguistically-Aware Hate Speech Detection System for Roman Urdu (ACM Digital Library)
The current study presents a comprehensive approach to detecting hate speech in Roman Urdu, a widely used but under-resourced language…
Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, September 2025 (I/II)
Browse and read from a list of the 160 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
Misogynous Memes Recognition: Training vs Inference Bias Mitigation Strategies (Italian Journal of Computational Linguistics)
A methodological approach for automatically identifying misogynous memes is presented in the current research, with an emphasis on reducing model…
A Vision-Language Model for Multitask Classification of Memes (Neural Networks)
The current study tackles the challenges of multimodal hate speech identification in internet memes, which frequently combine text and images…
What is online hate and how can you counter it? (Center for Countering Digital Hate)
The growing threat of online hatred is described by the CCDH. The text highlights how social media algorithms and uncontrolled…
The Role of Context in Detecting the Target of Hate Speech (ACL Anthology)
With an emphasis on Dutch-language social media, the current study tackles the ongoing problem of contextual sensitivity in automated hate…
WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding Data (arXiv)
In the current research, the authors present WATCHED, an AI-powered chatbot that combines massive language models with specialized techniques to…