Most models of information diffusion online rely on the assumption that pieces of information spread independently from each other. However, several works pointed out the necessity of investigating the role of interactions in real-world processes, and highlighted possible difficulties in doing so: interactions are sparse and brief. As an answer, recent advances developed models to account for interactions in underlying publication dynamics. In this article, we propose to extend and apply one such model to determine whether interactions between news headlines on Reddit play a significant role in their underlying publication mechanisms. After conducting an in-depth case study on 100,000 news headline from 2019, we retrieve state-of-the-art conclusions about interactions and conclude that they play a minor role in this dataset.
翻译：多数在线信息传播模式所依据的假设是,信息片段彼此独立传播。然而,一些工作指出有必要调查互动在现实世界进程中的作用,并强调这样做可能存在困难:互动很少,而且很简短。回答是,最近的进展发展了模式,以说明在基本出版动态中的相互作用。在本篇文章中,我们提议扩大和应用一个模式,以确定红线新闻头条新闻的相互作用是否在其基本出版机制中发挥重要作用。在对2019年的10万条新闻标题进行深入的案例研究之后,我们检索了有关互动的最新结论,并得出结论认为这些结论在这一数据集中作用不大。
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