Tweets on carbon dioxide removal

Growing online attention and positive sentiments towardscarbon dioxide removal Tim Repke, Finn Müller-Hansen, Emily Cox, Jan Minx (unpublished) Scaling up CO2 removal is crucial to achieve net-zero targets and limit global warming. Understanding public perception of large-scale carbon dioxide removal (CDR) is vital to avoid opposition that could slow down development, investments, and deployment. Using Twitter data from 2010 to 2022, we analysed attention and sentiments towards ten CDR methods. Our study provides up-to-date time series evidence complementing survey studies, capturing the opinions of users with knowledge or awareness of emerging CDR methods. Attention towards CDR has grown exponentially, particularly in recent years. Overall, the discourse on CDR has become more positive, except for BECCS. Conventional CDR methods are the most discussed and receive more positive sentiments. We examined three user types, each with varying levels of involvement in the discourse. Infrequent users (assumed less familiar) pay more attention to methods with biological sinks, while frequent users (assumed more familiar) focus more on novel CDR methods. Dataset description export.csvThis dataset contains all Twitter IDs of tweets retrieved for this study. We also include all technology annotations, which technology-specific subquery this relates to, sentiment classification, and user type. Note, that this dataset contains more tweets than used in the study. UserPanels.csvThis is an overview of all users, their categorisation, and the number of positive/negative/neutral tweets. This could also be derived from the export.csv.公众对二氧化碳移除（carbon dioxide removal, CDR）的在线关注度与正向情绪持续增长 蒂姆·雷普克、芬恩·穆勒-汉森、艾米丽·考克斯、扬·明克斯 （未发表） 扩大二氧化碳移除（CDR）规模是实现净零排放目标、限制全球变暖的核心举措。厘清公众对大规模二氧化碳移除（CDR）的认知态度，对规避可能阻碍其发展、投资与部署的反对声浪至关重要。本研究依托2010至2022年的推特（Twitter）数据，针对十种CDR技术的在线关注度与情绪倾向展开系统性分析。本研究提供了可补充传统调查类研究的最新时间序列证据，覆盖了对新兴CDR技术具备认知或了解的用户群体的观点。CDR相关的在线关注度呈指数级增长趋势，近年尤为凸显。整体而言，除生物能源与碳捕获和储存（BECCS）外，CDR相关讨论的情绪基调愈发正向。传统CDR技术的讨论热度最高，且获得的正向情绪占比更高。本研究还分析了三类参与讨论程度各异的用户群体：低频用户（假定熟悉度较低）更关注具有生物固碳功能的技术，而高频用户（假定熟悉度较高）则更聚焦于新型CDR技术。 ## 数据集说明 1. `export.csv`：本数据集包含本研究检索到的全部推文ID，同时附带所有技术标注信息、对应技术的专属子查询、情绪分类结果以及用户类型标注。需注意，本数据集包含的推文总量多于本研究实际使用的样本量。 2. `UserPanels.csv`：本文件为所有用户的概况汇总表，包含用户分类结果以及正负向、中性推文的数量统计，该信息亦可从`export.csv`中推导得到。