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 [57] 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决定性议题，我们正处于一个决定性时刻。各利益集团、社会运动组织及个人通过社交媒体针对这一议题展开集体行动。此外，社交媒体上常常出现针对持续性社会议题（尤其是能源产业面临的议题）的倡议运动。本文旨在分析这些产业、其倡集团以及气候倡议集团如何运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[57]方法，以识别Facebook上气候广告的立场。最后，我们发布立场数据集、模型及相关气候运动主题集，用于后续意见挖掘和气候变化立场自动检测研究。