论文标题
选举期间政治意见格局的演变
Evolution of the political opinion landscape during electoral periods
论文作者
论文摘要
我们根据从微博平台Twitter获得的数据，对2015年和2019年总统选举期间政治格局的演变进行了研究。我们基于所有用户使用的主题标签建立一个语义网络，至少是一个主要候选者。通过这个网络，我们可以检测到社会中讨论的主题。在社交媒体上的大多数观点研究的不同之处，我们没有选择主题，它们自然而然地从语义网络的社区结构中出现。我们将动态主题向量分配给每个用户，该矢量衡量了她/他的意见在这个空间中的演变，并使我们能够监视不同候选人支持者组之间的相似性和差异。我们的结果表明，该方法能够检测出对不同主题的意见形成的动态，尤其是它可以捕获政治意见格局的重塑，这导致了2015年大选两轮之间的结果。
We present a study of the evolution of the political landscape during the 2015 and 2019 presidential elections in Argentina, based on the data obtained from the micro-blogging platform Twitter. We build a semantic network based on the hashtags used by all the users following at least one of the main candidates. With this network we can detect the topics that are discussed in the society. At a difference with most studies of opinion on social media, we do not choose the topics a priori, they naturally emerge from the community structure of the semantic network instead. We assign to each user a dynamical topic vector which measures the evolution of her/his opinion in this space and allows us to monitor the similarities and differences among groups of supporters of different candidates. Our results show that the method is able to detect the dynamics of formation of opinion on different topics and, in particular, it can capture the reshaping of the political opinion landscape which has led to the inversion of result between the two rounds of the 2015 election.
