论文标题
COVID-19的（MIS）信息生态系统在Twitter上：党派如何增强阴谋叙事在德语说话Twitter上的传播
COVID-19's (mis)information ecosystem on Twitter: How partisanship boosts the spread of conspiracy narratives on German speaking Twitter
论文作者
论文摘要
2019年底，一个世纪以来最严重的大流行开始在世界范围内传播。自那以后，与已被称为SARS-COV-2相关的不确定性与所谓的SARS-COV-2有关的状态促进了社交媒体上关于起源，传播和医疗和疫苗接种所导致的疾病的叙事，Covid-19。利用社交媒体智能监测和理解阴谋叙事的扩散是分析大流行中错误信息的分布的一种方法。我们分析了关于Covid-19的950万以上德语推文。结果表明，所有这些推文中只有约0.6％处理阴谋论叙事。我们还发现，用户的政治取向与内容用户的数量有助于传播阴谋叙事，这意味着党派沟通者具有更高的动力，可以参与Twitter上的阴谋讨论。最后，我们表明与其他研究相反，自动化的帐户并没有显着影响德国人说话的Twitter Sphere中错误信息的传播。它们仅占我们数据库中所有与阴谋相关的活动的约1.31％。
In late 2019, the gravest pandemic in a century began spreading across the world. A state of uncertainty related to what has become known as SARS-CoV-2 has since fueled conspiracy narratives on social media about the origin, transmission and medical treatment of and vaccination against the resulting disease, COVID-19. Using social media intelligence to monitor and understand the proliferation of conspiracy narratives is one way to analyze the distribution of misinformation on the pandemic. We analyzed more than 9.5M German language tweets about COVID-19. The results show that only about 0.6% of all those tweets deal with conspiracy theory narratives. We also found that the political orientation of users correlates with the volume of content users contribute to the dissemination of conspiracy narratives, implying that partisan communicators have a higher motivation to take part in conspiratorial discussions on Twitter. Finally, we showed that contrary to other studies, automated accounts do not significantly influence the spread of misinformation in the German speaking Twitter sphere. They only represent about 1.31% of all conspiracy-related activities in our database.
