This paper studies the dynamics of opinion formation and polarization in social media. We investigate whether the stance of users with respect to contentious subjects is influenced by the online discussions that they are exposed to, and by the interactions with users supporting different stances. We set up a series of predictive exercises, in which users are described using several posting activity features capturing their overall activity levels, their posting success, the reactions their posts attract from users of different stances, and the types of discussions in which they engage. Given the user description at the present time, the purpose is to predict his stance in the future. On a dataset of discussions about Brexit on the Reddit platform, we show that the activity features constantly outperform the textual baseline, confirming the link between exposure to discussion and opinion. We find that the most informative features relay to the stance composition of the discussion that users prefer to engage into.
翻译:本文研究社会媒体舆论形成和两极分化的动态。我们调查用户对争议议题的立场是否受到他们所接触的在线讨论以及他们与支持不同立场的用户的互动的影响。我们制定了一系列预测练习,其中用户使用几种张贴活动特征来描述其总体活动水平、其张贴成功率、其文章吸引不同立场用户的反应以及他们参与的讨论类型。鉴于用户目前的说法,目的是预测他今后的立场。在Redddit平台上关于Brexit的讨论的数据集中,我们显示活动的特点经常超过文字基线,证实了接触讨论和意见之间的联系。我们发现,最丰富的特征是传达用户愿意参与的讨论的立场构成。