Cover Image

MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jo, Wonjeong, Wojcieszak, Magdalena
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
by: Jo, Claire Wonjeong, et al.
Published: (2024)

YouTube-Occ: Learning Indoor 3D Semantic Occupancy Prediction from YouTube Videos
by: Chen, Haoming, et al.
Published: (2025)

YouTube SFV+HDR Quality Dataset
by: Wang, Yilin, et al.
Published: (2024)

Can Language Models Laugh at YouTube Short-form Videos?
by: Ko, Dayoon, et al.
Published: (2023)

AHOY! Animatable Humans under Occlusion from YouTube Videos with Gaussian Splatting and Video Diffusion Priors
by: Mir, Aymen, et al.
Published: (2026)

FinCap: Topic-Aligned Captions for Short-Form Financial YouTube Videos
by: Sukhani, Siddhant, et al.
Published: (2025)

MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili
by: Wang, Han, et al.
Published: (2024)

Unboxing Engagement in YouTube Influencer Videos: An Attention-Based Approach
by: Rajaram, Prashant, et al.
Published: (2020)

YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos
by: Guo, Yawen, et al.
Published: (2024)

Failures to Surface Harmful Contents in Video Large Language Models
by: Cao, Yuxin, et al.
Published: (2025)

T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition
by: Yeh, Chen, et al.
Published: (2024)

Residual Connections Harm Generative Representation Learning
by: Zhang, Xiao, et al.
Published: (2024)

The Bias of Harmful Label Associations in Vision-Language Models
by: Hazirbas, Caner, et al.
Published: (2024)

Augmenting Chest X-ray Datasets with Non-Expert Annotations
by: Cheplygina, Veronika, et al.
Published: (2023)

Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA
by: Park, Jongwoo, et al.
Published: (2024)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
by: Wang, Bing, et al.
Published: (2024)

SafeCFG: Controlling Harmful Features with Dynamic Safe Guidance for Safe Generation
by: Pan, Jiadong, et al.
Published: (2024)

TurboVSR: Fantastic Video Upscalers and Where to Find Them
by: Wang, Zhongdao, et al.
Published: (2025)

Robust Harmful Meme Detection under Missing Modalities via Shared Representation Learning
by: Breiteneder, Felix, et al.
Published: (2026)

MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
by: Gu, Hexiang, et al.
Published: (2025)

On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models
by: Liu, Yule, et al.
Published: (2026)

Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices
by: Zou, Ya, et al.
Published: (2025)

CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
by: Arodi, Akshatha, et al.
Published: (2024)

TurboReg: TurboClique for Robust and Efficient Point Cloud Registration
by: Yan, Shaocheng, et al.
Published: (2025)

SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
by: Wang, Jiahao, et al.
Published: (2025)

Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts
by: Kim, Hee-Seon, et al.
Published: (2025)

Recognition of Harmful Phytoplankton from Microscopic Images using Deep Learning
by: Khaldi, Aymane, et al.
Published: (2024)

Transferable-guided Attention Is All You Need for Video Domain Adaptation
by: Sacilotti, André, et al.
Published: (2024)

VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool
by: Wang, Yan, et al.
Published: (2024)

Don't Let Your Robot be Harmful: Responsible Robotic Manipulation via Safety-as-Policy
by: Ni, Minheng, et al.
Published: (2024)

GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts
by: Kang, Jenna, et al.
Published: (2025)

VUDG: A Dataset for Video Understanding Domain Generalization
by: Wang, Ziyi, et al.
Published: (2025)

Stronger Semantic Encoders Can Harm Relighting Performance: Probing Visual Priors via Augmented Latent Intrinsics
by: Xing, Xiaoyan, et al.
Published: (2026)

Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization
by: Maljkovic, Igor, et al.
Published: (2026)

Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
by: Tan, Xuwei, et al.
Published: (2026)

Robustness of Vision Language Models Against Split-Image Harmful Input Attacks
by: Rashid, Md Rafi Ur, et al.
Published: (2026)

OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst
by: Cao, Jingtao, et al.
Published: (2024)

From Shallow Humor to Metaphor: Towards Label-Free Harmful Meme Detection via LMM Agent Self-Improvement
by: Lang, Jian, et al.
Published: (2025)

A Fast Horizon Detector and a New Annotated Dataset for Maritime Video Processing
by: Zardoua, Yassir, et al.
Published: (2021)

FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation
by: Yagi, Takuma, et al.
Published: (2024)