The Stanceosaurus corpus (Zheng et al., 2022) was designed to provide high-quality, annotated, 5-way stance data extracted from Twitter, suitable for analyzing cross-cultural and cross-lingual misinformation. In the Stanceosaurus 2.0 iteration, we extend this framework to encompass Russian and Spanish. The former is of current significance due to prevalent misinformation amid escalating tensions with the West and the violent incursion into Ukraine. The latter, meanwhile, represents an enormous community that has been largely overlooked on major social media platforms. By incorporating an additional 3,874 Spanish and Russian tweets over 41 misinformation claims, our objective is to support research focused on these issues. To demonstrate the value of this data, we employed zero-shot cross-lingual transfer on multilingual BERT, yielding results on par with the initial Stanceosaurus study with a macro F1 score of 43 for both languages. This underlines the viability of stance classification as an effective tool for identifying multicultural misinformation.

通过将西班牙语和俄语纳入Stanceosaurus 2.0框架，从而提供了41个误传事件中的3,874个西班牙语和俄语推文，以支持与多文化误传相关的研究，并通过使用零射多语言BERT进行跨语言转移来证明了立场分类作为识别多元文化误传的有效工具。

Stanceosaurus 2.0: 对俄语和西班牙语虚假信息进行态度分类