Latest Articles for Hate Speech

A new method improves identification of hate speech in Arabic social media.

Research assesses ChatGPT's effectiveness in labeling social issue-related data.

A method to reduce bias in language models by making them forget harmful information.

New methods for personalizing AI language models are essential for user diversity.

New dataset provides insights on hate speech across languages and formats.

A study on bias detection in NLP models and its implications.

This study assesses LLMs' abilities to tackle fraud and abusive language.

This study examines the link between propaganda and hate in Arabic memes.

New models aim to combat harmful language online through advanced detection techniques.

SWE2 improves detection of hate speech on social media through advanced techniques.

Utilizing multiple annotator perspectives can improve text classification models.

Learn how merging AI models can improve processing speed and reduce complexity.

This article discusses safety issues in text-to-image models and proposes solutions.

Safe Guard detects hate speech in real-time during voice interactions in social VR.

This study explores how different cultures interpret hate speech in memes.

New dataset reveals challenges in detecting hate speech across languages and platforms.

This survey highlights the challenges and progress in detecting hate speech across various languages.

This article examines hate speech laws and detection methods worldwide.

A novel approach to identifying and explaining hate speech on social media.

Exploring new methods for effective social media content moderation.

A new library to evaluate AI alignment with human viewpoints.

A study on using AI to detect hate speech in Hindi and Nepali.

The SAFE-MEME framework helps identify hate speech hidden in memes.