  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.
