Conspiracy Narratives in the Protest Movement Against COVID-19 Restrictions in Germany. A Long-term Content Analysis of Telegram Chat Groups.

Manuel Weigand, Maximilian Weber, Johannes B. Gruber
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Abstract

From the start of the COVID-19 pandemic in Germany, different groups have been protesting measures implemented by different government bodies in Germany to control the pandemic. It was widely claimed that many of the offline and online protests were driven by conspiracy narratives disseminated through groups and channels on the messenger app Telegram. We investigate this claim by measuring the frequency of conspiracy narratives in messages from open Telegram chat groups of the Querdenken movement, set up to organize protests against COVID-19 restrictions in Germany. We furthermore explore the content of these messages using topic modelling. To this end, we collected 822k text messages sent between April 2020 and May 2022 in 34 chat groups. By fine-tuning a Distilbert model, using self-annotated data, we find that 8.24% of the sent messages contain signs of conspiracy narratives. This number is not static, however, as the share of conspiracy messages grew while the overall number of messages shows a downward trend since its peak at the end of 2020. We further find a mix of known conspiracy narratives make up the topics in our topic model. Our findings suggest that the Querdenken movement is getting smaller over time, but its remaining members focus even more on conspiracy narratives.
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德国反新冠肺炎限制抗议运动中的阴谋叙事。电报聊天群的长期内容分析。
从德国新冠肺炎疫情开始,不同团体一直在抗议德国不同政府机构为控制疫情而采取的措施。人们普遍认为,许多线下和线上抗议活动都是由通过即时通讯应用Telegram上的群组和频道传播的阴谋叙事推动的。我们通过测量公开的Querdenken运动Telegram聊天群信息中阴谋叙事的频率来调查这一说法,Querdenken运动是为了在德国组织抗议COVID-19限制而建立的。我们进一步使用主题建模来探索这些消息的内容。为此,我们收集了2020年4月至2022年5月在34个聊天组中发送的82.2万条短信。通过对蒸馏器模型进行微调,使用自注释数据,我们发现8.24%的发送信息包含阴谋叙事的迹象。然而,这个数字并不是一成不变的,因为阴谋信息的份额在增长,而信息的总数自2020年底达到峰值以来呈下降趋势。我们进一步发现,在我们的主题模型中,已知阴谋叙事的混合构成了主题。我们的研究结果表明,随着时间的推移,奎尔登肯运动的规模越来越小,但其剩余成员更关注阴谋叙事。
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OLALA: Object-Level Active Learning for Efficient Document Layout Annotation Conspiracy Narratives in the Protest Movement Against COVID-19 Restrictions in Germany. A Long-term Content Analysis of Telegram Chat Groups. An Analysis of Acknowledgments in NLP Conference Proceedings Detecting Dissonant Stance in Social Media: The Role of Topic Exposure To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation
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