Emojis have established themselves as a popular means of communication in online messaging. Despite the apparent ubiquity in these image-based tokens, however, interpretation and ambiguity may allow for unique uses of emojis to appear. In this paper, we present the first examination of emoji usage by hacktivist groups via a study of the Anonymous collective on Twitter. This research aims to identify whether Anonymous affiliates have evolved their own approach to using emojis. To do this, we compare a large dataset of Anonymous tweets to a baseline tweet dataset from randomly sampled Twitter users using computational and qualitative analysis to compare their emoji usage. We utilise Word2Vec language models to examine the semantic relationships between emojis, identifying clear distinctions in the emoji-emoji relationships of Anonymous users. We then explore how emojis are used as a means of conveying emotions, finding that despite little commonality in emoji-emoji semantic ties, Anonymous emoji usage displays similar patterns of emotional purpose to the emojis of baseline Twitter users. Finally, we explore the textual context in which these emojis occur, finding that although similarities exist between the emoji usage of our Anonymous and baseline Twitter datasets, Anonymous users appear to have adopted more specific interpretations of certain emojis. This includes the use of emojis as a means of expressing adoration and infatuation towards notable Anonymous affiliates. These findings indicate that emojis appear to retain a considerable degree of similarity within Anonymous accounts as compared to more typical Twitter users. However, their are signs that emoji usage in Anonymous accounts has evolved somewhat, gaining additional group-specific associations that reveal new insights into the behaviours of this unusual collective.
翻译:Emojis已经将Emojis自我定位为在线信息传递的流行通信手段。尽管这些基于图像的标语显然无处不在,但解释和模糊可能允许以独特的方式使用emojis。在本文中,我们通过Twitter上的匿名集体研究,展示了黑客团体使用emoji的首次检查。这一研究的目的是确定匿名子公司是否已经发展了使用emojis的方法。为此,我们将大量匿名推文的数据集与通过计算和定性分析随机抽样抽样的Twitter用户的在线推文数据集相比较。我们使用Wod2Vec语言模型来检查emojis之间的语义关系,通过Twitter用户的感化关系有清楚的区别。我们然后探索如何将emojis作为表达情绪的一种手段,发现尽管在emojie-emoji的血义关系中,匿名的血缘关系也呈现出与Twitter用户的感知觉用量相当的情感模式模式。最后,我们探索了我们所采用的某些直观用户之间的语言,在这种直观的解读中,在这种直观的解读中也存在一种比的某种直观数据。