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

Published: 18 February 2026| Version 2 | DOI: 10.17632/bd32wp6vhy.2
Contributor:
Amber Yan

Description

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.

Files

Institutions

Categories

Social Media, Climate, Digital Platform

Funders

  • UCL-Peking University Strategic Partner Funds (2024/25)

Licence