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公众对气候变化的看法:通过NMF主题建模和情绪分析分析IPCC报告的影响
Beatriz V B S Souza1, Leonardo T Duarte1, Priscila P Coltri2
1University of Campinas, School of Applied Sciences, 1300 Street Pedro Zaccaria, 13484-350 Limeira, SP, Brazil.
Anais da Academia Brasileira de Ciencias
|December 19, 2025
概括
社交媒体对气候变化的参与正在增长. 对Twitter数据的分析表明,政府间气候变化专门委员会 (IPCC) 的报告影响了公共话语,增加了两极分化,并突出了气候风险.
科学领域:
- 环境科学 环境科学
- 沟通研究 沟通研究
- 计算社会科学 计算社会科学
背景情况:
- 社交媒体显著影响公众对气候变化的看法.
- 政府间气候变化专门委员会 (IPCC) 发布了关键气候评估报告.
研究的目的:
- 检查IPCC气候评估报告 (AR4,AR5,AR6) 对Twitter话语的影响.
- 分析与气候变化沟通相关的公众认知和情绪的变化.
主要方法:
- 收集了897,562条与IPCC报告相关的英语推特 (2006-2022年).
- 应用自然语言处理 (NLP) 用于预处理和非负矩阵分解 (NMF/LQ-NMF) 用于主题建模.
- 使用VADER进行情绪分析,以评估公众的反应.
主要成果:
- 确定了反复出现的主题:气候风险,紧急行动和温室气体排放.
- 观察到公众话语在报告前和后发布的重大转变.
- 检测到中立推特的减少和两极分化增加,特别是在AR6报告中.
结论:
- IPCC的报告显然影响了社交媒体上关于气候变化的对话.
- 在评估公众对气候传播的看法方面,NLP和话题建模是有效的.
- 调查结果强调了社交媒体上气候变化话语的不断变化的性质.
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