论文标题
改变我的主意：从政治讨论中进行数据驱动的开放性估计
Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions
论文作者
论文摘要
在社会辩论中表征舆论形成过程的发展的主要方面之一是参与人群开放的思想程度。舆论动态建模研究试图捕获个人个性的这种特殊表达，并将其与新兴现象（如极化，激进化和意识形态破碎化）相关联。但是，他们的主要局限性之一在于他们对此类特征的初始分布做出的强有力的假设，通常是为了满足正态性假设。在这里，我们提出了一种数据驱动的方法，以从在线讨论数据中估算用户开放的思想。我们的分析 - 重点是在特朗普总统任期的头两年对Reddit进行的政治讨论 - 揭示了在注释的子人群中存在统计多样化的开放态度的分布（即共和党人，民主党人和温和派/中立者）。此外，这种分布似乎在整个时间内稳定，并且由单个用户的行为产生，这些行为保持一致且分散不足。
One of the main dimensions characterizing the unfolding of opinion formation processes in social debates is the degree of open-mindedness of the involved population. Opinion dynamic modeling studies have tried to capture such a peculiar expression of individuals' personalities and relate it to emerging phenomena like polarization, radicalization, and ideology fragmentation. However, one of their major limitations lies in the strong assumptions they make on the initial distribution of such characteristics, often fixed so as to satisfy a normality hypothesis. Here we propose a data-driven methodology to estimate users' open-mindedness from online discussion data. Our analysis - focused on the political discussion taking place on Reddit during the first two years of the Trump presidency - unveils the existence of statistically diverse distributions of open-mindedness in annotated sub-populations (i.e., Republicans, Democrats, and Moderates/Neutrals). Moreover, such distributions appear to be stable across time and generated by individual users' behaviors that remain consistent and underdispersed.
