Large-scale manipulations on social media have two important characteristics: (i) use of propaganda to influence others, and (ii) adoption of coordinated behavior to spread it and to amplify its impact. Despite the connection between them, these two characteristics have so far been considered in isolation. Here we aim to bridge this gap. In particular, we analyze the spread of propaganda and its interplay with coordinated behavior on a large Twitter dataset about the 2019 UK general election. We first propose and evaluate several metrics for measuring the use of propaganda on Twitter. Then, we investigate the use of propaganda by different coordinated communities that participated in the online debate. The combination of the use of propaganda and coordinated behavior allows us to uncover the authenticity and harmfulness of the different communities. Finally, we compare our measures of propaganda and coordination with automation (i.e., bot) scores and Twitter suspensions, revealing interesting trends. From a theoretical viewpoint, we introduce a methodology for analyzing several important dimensions of online behavior that are seldom conjointly considered. From a practical viewpoint, we provide new insights into authentic and inauthentic online activities during the 2019 UK general election.
翻译:社交媒体上的大规模操纵有两个重要特点:(一) 利用宣传来影响他人,和(二) 采取协调行动来传播宣传并扩大其影响。尽管两者之间有联系,但这两个特点迄今一直被孤立地考虑。我们在这里的目标是弥合这一差距。特别是,我们分析宣传的传播及其与2019年英国大选的大型推特数据集上协调行动的相互作用。我们首先提出和评估数项衡量Twitter上宣传使用情况的指标。然后,我们调查参与在线辩论的不同协调社区使用宣传手段的情况。利用宣传和协调行动使我们得以发现不同社区的真实性和有害性。最后,我们将我们的宣传和协调措施与自动化(即机器人)分数和Twitter暂停值进行比较,揭示出有趣的趋势。从理论观点看,我们引入了一种方法来分析很少被同时考虑的在线行为的若干重要方面。从实际角度看,我们提供了对2019年英国大选期间真实性和真实性在线活动的新认识。