3 papers
cs.CV2025
MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkers
Wonjeong Jo, Magdalena Wojcieszak
Short video platforms, such as YouTube, Instagram, or TikTok, are used by billions of users. These platforms expose users to harmful content, ranging from clickbait or physical har…
cs.CL2025
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
Rajvardhan Oak, Muhammad Haroon, Claire Jo +2
Social media platforms utilize Machine Learning (ML) and Artificial Intelligence (AI) powered recommendation algorithms to maximize user engagement, which can result in inadvertent…
cs.MM2024
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
Claire Wonjeong Jo, Miki Wesołowska, Magdalena Wojcieszak
Short video platforms, such as YouTube, Instagram, or TikTok, are used by billions of users globally. These platforms expose users to harmful content, ranging from clickbait or phy…