A Weibo Dataset for the 2022 Russo-Ukrainian Crisis
This provides a resource for researchers studying tasks like misinformation detection in a new crisis context, but it is incremental as it applies existing data collection methods to a new event.
The authors tackled the need for crisis-specific social media data by creating the Russia-Ukraine Crisis Weibo (RUW) dataset, which includes over 3.5 million user posts and comments from Weibo during the 2022 Russo-Ukrainian crisis.
Online social networks such as Twitter and Weibo play an important role in how people stay informed and exchange reactions. Each crisis encompasses a new opportunity to study the portability of models for various tasks (e.g., information extraction, complex event understanding, misinformation detection, etc.), due to differences in domain, entities, and event types. We present the Russia-Ukraine Crisis Weibo (RUW) dataset, with over 3.5M user posts and comments in the first release. Our data is available at https://github.com/yrf1/RussiaUkraine_weibo_dataset.