论文标题
英国的牛结核病：在Twitter上识别极化和争议的签名
Bovine Tuberculosis in Britain: identifying signatures of polarisation and controversy on Twitter
论文作者
论文摘要
疾病控制的方法受公众舆论的影响和反映，两者本质上交织在一起。英国牛和badge中的牛结核病（BTB）就是一个例子，在观点上存在高度两极分化。另一方面，牛病毒腹泻（BVD）没有相同的争议。 在本文中，我们使用网络分析以及语言和情感分析的组合在比较BTB和BVD周围的话语时，在Twitter上的语言主观性如何有所不同。这项研究使用的数据是在两年内从Twitter公共API收集的。我们研究了具有两种疾病的推文的网络结构，语言内容和用户资料。 在分析网络结构的同时，这两个疾病主题之间几乎没有差异，但该结构的元素使我们能够更好地研究用户的语言结构和概况。我们发现在有关每种疾病的推文中使用的语言和情感以及进行推文的用户的概况之间存在明显差异。我们希望这将指导进一步的调查和监视或控制错误信息的潜在途径。
Approaches to disease control are influenced by and reflected in public opinion, and the two are intrinsically entwined. Bovine tuberculosis (bTB) in British cattle and badgers is one example where there is a high degree of polarisation in opinion. Bovine viral diarrhoea (BVD), on the other hand, does not have the same controversy. In this paper we examine how language subjectivity on Twitter differs when comparing the discourses surrounding bTB and BVD, using a combination of network analysis and language and sentiment analysis. That data used for this study was collected from the Twitter public API over a two-year period. We investigated the network structure, language content, and user profiles of tweets featuring both diseases. While analysing network structure showed little difference between the two disease topics, elements of the structure allowed us to better investigate the language structure and profile of users. We found distinct differences between the language and sentiment used in tweets about each disease, and in the profile of the users who were doing the tweeting. We hope that this will guide further investigation and potential avenues for surveillance or the control of misinformation.
