PulseAugur
实时 09:33:48
English(EN) YTClickbait21K: Human-Annotated Multimodal Dataset for YouTube Clickbait Detection Across Diverse Channels and Content Categories

推出新的YouTube点击诱饵数据集,用于AI检测

研究人员推出了YTClickbait21K,一个旨在改进YouTube点击诱饵自动检测的新数据集。该数据集包含超过21,000个视频,由多个人类标注者进行标注以确保可靠性,并包含标题、描述、参与度统计数据和缩略图等模态数据。目标是为内容审核和跨模态理解中的机器学习模型提供一个强大的基准。 AI

排序理由 该集群描述了一个在arXiv上发布的、用于研究目的的新学术数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Md. Minhazul Islam, Md. Tanbeer Jubaer, Amith Khandakar, Shovon Sarker, Sumaiya Rahman, Md. Masum Mia, Mohamed Arselene Ayari, Hamed Noori ·

    YTClickbait21K: Human-Annotated Multimodal Dataset for YouTube Clickbait Detection Across Diverse Channels and Content Categories

    arXiv:2606.14780v1 Announce Type: cross Abstract: Clickbait content on video-sharing platforms poses a significant challenge to information reliability, yet progress in automated detection has been constrained by the lack of large-scale, high-quality multimodal datasets. We prese…