The climate gluing protests: analyzing their development and framing in media since 1986 using sentiment analyses and frame detection models.

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Frontiers in Big Data Pub Date : 2025-05-19 eCollection Date: 2025-01-01 DOI:10.3389/fdata.2025.1569623
Markus Hadler, Alexander Ertl, Beate Klösch, Markus Reiter-Haas, Elisabeth Lex
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Abstract

Recent climate-related protests by social movements such as Extinction Rebellion, Just Stop Oil, and others have included actions like defacing artwork and gluing oneself to objects and streets. Using sentiment analysis and frame detection models, we analyze a corpus of all available English-language news articles in LexisNexis, with the first recorded instance of a gluing protest appearing in 1986. Our study traces the development of this protest tactic over time and addresses three central questions from social movement literature: the use of glue in protests, the geographical spread of this tactic, and the framing of these actions. We find that gluing protests were initially associated with a range of issues-including abortion, criminal justice, and environmental concerns-but in recent years have become more strongly linked to climate activism. Media coverage of these protests is predominantly negative, although public media tends to be comparatively less so. Moreover, protesters' prognostic frames-suggestions for what should be done-are relatively rare, with discourse more often centering on policy and security concerns. From a data science perspective, we explore the use of various Natural Language Processing (NLP) methods. The discussion and conclusion section highlights challenges encountered when working with our corpus and NLP models, and suggests ways to address them in future research. We also consider how recent advancements in large language models (LLMs) could refine or extend these analyses while acknowledging important concerns related to their use.

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气候粘合抗议:使用情感分析和框架检测模型分析1986年以来媒体的发展和框架。
最近由灭绝叛乱、停止石油等社会运动发起的与气候有关的抗议活动,包括破坏艺术品、把自己粘在物体和街道上等行动。使用情感分析和框架检测模型,我们分析了LexisNexis中所有可用的英语新闻文章的语料库,其中第一个记录的粘胶抗议出现在1986年。我们的研究追溯了这种抗议策略随着时间的发展,并解决了社会运动文献中的三个核心问题:在抗议活动中使用胶水,这种策略的地理分布,以及这些行动的框架。我们发现,粘合抗议最初与一系列问题有关,包括堕胎、刑事司法和环境问题,但近年来与气候行动主义的联系越来越紧密。媒体对这些抗议活动的报道主要是负面的,尽管公共媒体的报道相对较少。此外,抗议者的预测框架——关于应该做什么的建议——相对较少,讨论更多地集中在政策和安全问题上。从数据科学的角度来看,我们探索了各种自然语言处理(NLP)方法的使用。讨论和结论部分强调了在使用语料库和NLP模型时遇到的挑战,并提出了在未来研究中解决这些问题的方法。我们还考虑了大型语言模型(llm)的最新进展如何改进或扩展这些分析,同时承认与它们的使用相关的重要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.20
自引率
3.20%
发文量
122
审稿时长
13 weeks
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