论文标题
#brexit：离开还是留下？用户社区和历时进化在立场检测中的作用
#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
论文作者
论文摘要
兴趣围绕着用户在近年来在线辩论中假设的立场的分类增长。通常通过孤立地考虑用户帖子来解决立场，而社会研究强调，社会社区可能有助于影响用户的意见。此外，应该以简短的角度研究立场，因为它可以帮助阐明用户在辩论中可以记录的用户的观点变化动态。我们分析了英国关于Twitter上英国脱欧公投的政治讨论，提出了一种新颖的方法和注释模式，以进行立场检测，主要目的是研究与社交网络社区和历时性立场演变有关的特征的作用。分类实验表明，这种特征为检测姿态提供了非常有用的线索。
Interest has grown around the classification of stance that users assume within online debates in recent years. Stance has been usually addressed by considering users posts in isolation, while social studies highlight that social communities may contribute to influence users' opinion. Furthermore, stance should be studied in a diachronic perspective, since it could help to shed light on users' opinion shift dynamics that can be recorded during the debate. We analyzed the political discussion in UK about the BREXIT referendum on Twitter, proposing a novel approach and annotation schema for stance detection, with the main aim of investigating the role of features related to social network community and diachronic stance evolution. Classification experiments show that such features provide very useful clues for detecting stance.
