Climate change is the defining issue of our time, and we are at a defining moment. Various interest groups, social movement organizations, and individuals engage in collective action on this issue on social media. In addition, issue advocacy campaigns on social media often arise in response to ongoing societal concerns, especially those faced by energy industries. Our goal in this paper is to analyze how those industries, their advocacy group, and climate advocacy group use social media to influence the narrative on climate change. In this work, we propose a minimally supervised model soup [56] approach combined with messaging themes to identify the stances of climate ads on Facebook. Finally, we release our stance dataset, model, and set of themes related to climate campaigns for future work on opinion mining and the automatic detection of climate change stances.

翻译：气候变化是我们时代的关键议题，我们正处于决定性时刻。各种利益集团、社会运动组织及个人在社交媒体上就这一议题展开集体行动。此外，社交媒体上的议题倡导活动往往源于对持续社会问题（特别是能源行业面临的问题）的回应。本文旨在分析能源行业、其倡导组织及气候倡导组织如何利用社交媒体影响气候变化叙事。我们提出一种结合消息主题的最小监督模型汤方法[56]，用于识别Facebook上气候广告的立场。最后，我们公开了与气候运动相关的立场数据集、模型及主题集合，以支持未来在观点挖掘和气候变化立场自动检测领域的研究工作。