A Multimodal Dataset of Climate Change Narratives in China and the UK

The multimodal dataset focuses on climate change communication across two major social video platforms: BiliBili (China) and YouTube (United Kingdom). These platforms were selected because their long-form video formats lend themselves particularly well to narrative analysis, offering advantages over other forms of social media. The dataset comprises video cover images, metadata, engagement statistics, and textual content (titles, descriptions, and transcripts) for 2,798 videos (2,092 from BiliBili and 706 from YouTube), timeframe ranges from May 2007 to April 2025. The dataset offers substantial potential for researchers in environmental communication, digital humanities and computational social science, enabling cross-cultural analysis of public discourse and storytelling practices related to the climate crisis.本多模态数据集（multimodal dataset）聚焦于哔哩哔哩（BiliBili，中国）与YouTube（英国）两大主流社交视频平台上的气候变化传播议题。选择这两大平台的原因在于，其长视频格式尤其适合开展叙事分析，相较其他社交媒体形式具备显著优势。该数据集涵盖2798条视频的封面图像、元数据、互动统计数据以及文本内容（包括标题、视频描述与字幕转录文本），其中2092条来自哔哩哔哩平台，706条来自YouTube平台，数据覆盖的时间跨度为2007年5月至2025年4月。本数据集为环境传播、数字人文与计算社会科学领域的研究者提供了可观的研究潜力，可支持其开展与气候危机相关的公众话语及叙事实践的跨文化分析。