The Internet has made it easier for social scientists to study human behavior by analyzing their interactions on social media platforms. Many of these platforms characterize conversations among users via threads, which induce a tree-like structure. The structural properties of these discussion trees, such as their width, depth, and size, can be used to make inferences regarding user discussion patterns and conversation dynamics. In this paper, we seek to understand the structure of these online discussions on Reddit. We characterize the structure of these discussions via a set of global and local discussion-tree properties. The global features constitute information regarding the community/subreddit of a given post, whereas the local features are comprised of the properties of the post itself. We perform various statistical analyses on a year's worth of Reddit data containing a quarter of a million posts and several million comments. These analyses allow us to tease apart the relative contribution of a discussion post's global and local properties and characterize the importance of specific individual features in determining the discussions' structural patterns. Our results indicate that both local and global features explain a significant amount of structural variation. Local features are collectively more important as they explain significantly more variation in the discussion trees' structural properties than global features. However, there is significant heterogeneity in the impact of the various features. Several global features, e.g., the topic, age, popularity, and the redundancy of content in a subreddit, also play a crucial role in understanding the specific properties of discussion trees.
翻译:互联网使社会科学家更容易通过分析他们在社交媒体平台上的互动来研究人类行为。许多这些平台将用户之间通过线条进行的对话描述成树形结构。这些讨论树的结构特性,如其宽度、深度和大小等,可以用来推断用户讨论模式和对话动态。在本文中,我们试图了解这些在线讨论的关于Reddit的结构。我们通过一套全球和地方的讨论树特性来描述这些讨论的结构。全球特点构成了关于某一职位的社区/子化的信息,而当地特点则包含该职位本身的特性。我们对一年价值的Reddit数据进行了各种统计分析,其中包括25万个员额的宽度、深度和大小,这些分析可以用来推断用户的讨论模式和谈话动态。我们试图通过一系列全球和地方的讨论特征来理解这些在线讨论的结构结构结构结构结构结构结构。我们的结果表明,地方和全球的特征都解释了一个显著的结构差异。当地特征在解释某一职位的特性方面更为重要,而地方特征则包括该职位本身的特性。我们对于一年价值的数据进行了各种统计分析,其中包括25万个员额的特性,以及几百万种年龄特性的特性的特性。但是,这些特性的显著的特性是全球范围的特性的特性。 。 各种主题的特性的一个专题的特性的特性的特性的特性的大小。