# Brexit：离开还是留下？用户群体的作用及历时演变对立场检测的影响
#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
摘要：
近年来，人们对用户在网上辩论中所持立场的分类越来越感兴趣。立场通常是通过孤立地考虑用户的帖子来解决的，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，应该从历时的角度来研究立场，因为它可以帮助揭示用户在辩论期间可以记录的意见转变动态。我们分析了英国脱欧公投在Twitter上的政治讨论，提出了一种新的方法和注释模式的立场检测，主要目的是调查的社会网络社区和历时的立场演变相关的功能的作用。分类实验表明，这些特征提供了非常有用的线索检测立场。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
